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Anthropic, Open AI’s close competitor, recently launched a ChatGPT-like chatbot called Claude AI. The chatbot is trained with datasets until 2023 and provides similar functionalities to ChatGPT. The chatbot can generate texts, answer queries, or perform other text-generation tasks.

Anthropic currently offers two versions of this bot: Claude AI and Claude Instant. You can access both versions using its early access feature. This guide shares the detailed steps for logging into Claude AI and solutions to issues faced using this app.

Claude AI Login Page

First Create a Claude AI Account

Now that you have decided to become Claude AI’s early user, you must first set up the account. Creating a Claude AI account is simple. You have to provide a few details, and it’s done. Below are the steps to create a Claude AI account:

Step 3: Fill in the details asked in the Sign-up form.

Step 4: Tick the I want to receive updates about new features and products from Anthropic box and hit Submit.

Your Claude AI account is now ready for use! However, you will have to wait until Claude accepts your request.

How to Log into Claude AI?

After creating the Claude AI account, it’s time to explore it. You can explore the platform by signing into your account. Below are the steps to log into your Claude AI account:

Step 1: Go to Claude AI’s website.

How to Use Claude AI After Login?

Once signed into your Claude AI account, you can ask the bot queries or instruct it to perform a task. Claude AI can perform several tasks similar to ChatGPT. Additionally, Claude AI’s responses are faster, more detailed, and lengthier than ChatGPT.

Why is Claude AI Login Not Working?

Claude AI offers a smooth login process that immediately sets up your account. You can instantly log into your account by entering your email ID and password. However, the website may sometimes prevent you from accessing your account for several reasons.

Due to technical or network issues.

It also sends login errors when its servers are under maintenance or experiencing heavy traffic. In such cases, you won’t be able to sign into your account.

incompatible browser

bad internet connection

Wrong login details

How to fix it if you Can’t log in to Claude AI?

Usually, Claude AI will log you into your account in the blink of an eye. Nevertheless, Claude AI is not an error-free website. So, it may prevent you from signing into your account during technical failure. Still, you don’t need to worry!

Below are some feasible solutions to fix issues while logging into your Claude AI account:

Check Login details

The first method to fix the Claude AI login not working issue is by checking your login credentials. The email address or password you entered may be incorrect. Claude AI won’t allow you to log into your account in such situations.

So, verify your login credentials. If needed, re-type them and retry accessing Claude AI. You should be able to access it now.

Check Claude AI server status

If Claude AI’s server is experiencing heavy traffic or is under maintenance, you won’t be able to access Claude AI. You can check the server status by visiting Claude AI’s website. Then, wait for a while and retry accessing Claude AI.

Check internet connection

Claude AI is not an offline application or website. So, you need an active internet connection to use Claude AI. You cannot access Claude AI if your internet connection is unstable or not working.

To fix this issue, restart your router and check if the internet works. Otherwise, wait until the internet speed in your region increases. Then retry logging into your Claude AI account.

Try Login Using a VPN

Another option to fix the Claude AI log-in not working is to switch to a VPN. This solution is feasible when Claude AI is not working in your region. VPN servers allow users to access the internet anonymously. So, you can log into your Claude AI account after connecting to a VPN server.

Clear Claude AI site data

Sometimes your browser collects a lot of data while you browse the internet. This data may stop you from accessing your Claude AI data. You can clear this data using the steps mentioned below and retry accessing Claude AI:

Step 1: Open your web browser and tap the three dots in the top-right corner.

Step 2: Navigate to the Settings option.

Step 3: Select Privacy and Security and choose Cookies and other site data.

Step 4: Select the See all site data and permissions.

Now, go to Claude AI’s login page and retry logging into your account.

Clear cache & cookies of browser

Your browser also collects cookies and cache data for every website you visit. This information can help you browse the internet. However, these cookies may cause login issues while accessing Claude AI. You can fix this error using the steps given below:

Step 1: Tap on the three dots in the top-right corner of your browser and select More Tools.

Step 2: Select the Clear browsing data option.

Step 3: Modify the time duration and checkmark the boxes next to the options on the pop-up screen.

Step 4: Select Clear Data.

Step 5: Go to Claude AI’s login page and try logging into your account.

Disable all browser extensions and Login

Browser extensions add some functions and features to your browser. These extensions provide easy access to features while browsing the web or using web-based applications. However, they may also create issues while signing into your Claude AI account. To fix such errors, disable the browser extensions using the following steps:

Step 2: Choose the Extensions option.

Step 3: All the browser extensions will appear on your screen. Disable each extension by toggling the blue button on each label.

Step 4: Go to Claude AI and retry signing into your account.

Restart Your Device [Mobile or PC]

Another quick solution to fix the login error on Claude AI is by restarting your device. Simply power off your mobile or computer to sign into Claude AI. Then power it up again. This simple solution often fixes the repeatedly occurring errors, including the login not working.

Use a Claude AI Alternative

If none of those mentioned above solutions works, Claude AI is facing major issues. Perhaps, the servers might be experiencing downtime. So, trying out other Claude AI alternatives while waiting for the app to work as before is the best option. You can use ChatGPT, Google Bard, Chatsonic, Youchat, etc.

Conclusion

Hope this quick guide helps you create a Claude AI account and explore this amazing platform. If you face trouble logging into your account, use the solutions given in this guide. Remember, Claude AI is not open to all users. So, you may have to wait for some time after requesting access to the platform. Once your request is accepted, you can start using it immediately.

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Chatgpt Login Guide To Free Openai Access

ChatGPT is an innovative language concept that has revolutionized online communication. Because of its superior natural language processing capabilities, it has become a popular tool for chatbots and virtual assistants, allowing humans to connect with machines in a more natural and conversational manner. This post will go through how to use ChatGPT for login and sign-up procedures, with a focus on its function in the upcoming GPT-4 release.

What Is ChatGPT?

ChatGPT is a innovative type of artificial intelligence technology intended exclusively to assist natural language discussions. It is based on the well-known Transformer architecture, which was created by Google AI Research and has been used effectively in a variety of applications such as Natural Language Processing and Question Answering.

ChatGPT can simulate human discourse by using a “generative” model that can produce new content based on current data. This delivers more dynamic and interesting interactions than static chatbots and enables more complicated discussions while also giving deep learning features such as context and sentiment analysis.

The technique is especially suitable for applications requiring real-time conversational interfaces, such as customer service chatbots and online teaching assistants. It may also automate website FAQs and deliver personalized product suggestions based on prior interactions with a consumer. Businesses may use ChatGPT to create engaging and efficient customer experiences without the need for expensive human employees, while developers may utilise deep learning capabilities to provide smarter and more personalized services.

OpenAI ChatGPT Sign Up

Go to chúng tôi to access the Chat GPT website.

Search for and press the “Sign up” button.

Enter your email address, create a strong password, and accept the terms of service.

Enter the 6-digit OTP (One-Time Password) code that was provided to your phone to validate your phone number.

After completing these steps, you will have successfully registered for Chat GPT and will be able to use it.

ChatGPT Login

To access the ChatGPT Login platform, you need to log in using your email and password. Here’s how you can get started:

1. Go to OpenAI’s website and create an account using your email address and phone number.

4. Once logged in, you will be able to access all of ChatGPT’s features, including creating new chatbots, managing conversations, and setting up automated responses for customer inquiries.

OpenAI ChatGPT login with Third-party login methods

Third-party login options, such as using a Google account, can provide consumers with ease and security. Platforms such as Google have had a track record of prioritizing security measures to protect consumer data.

Users may use ChatGPT without creating a separate account by enabling login with Google. This is especially useful for consumers who are accustomed to utilizing Google’s login process across multiple devices and services.

ChatGPT may offer login alternatives with other providers such as Microsoft or Apple in addition to Google for customers who prefer such authentication methods. By providing various login choices, users may select the most comfortable and familiar manner for gaining access to ChatGPT.

It should be noted that the particular implementation and security measures for login systems may differ across platforms and service providers. To understand how their data is handled and safeguarded, users should carefully study the privacy policies and security measures of any login method they pick.

If you want to know the benefits of third-party login in read how to login using google.

ChatGPT Reset Password

If you ever forget your ChatGPT login credentials, ChatGPT has a “Forgot Password” link on their login page. Just enter your email address and they will send you instructions to reset your password.

Now that you know how to log into ChatGPT, you can start creating powerful chatbots that automate customer conversations.

ChatGPT Plus GPT-4

ChatGPT Plus is an OpenAI premium service that allows you access to the most recent version of GPT-4, a large language model capable of writing text, translating languages, composing other forms of creative material, and instructively answering your queries.

ChatGPT Plus prices $20 per month right now.

If you want to know Is it worth getting GPT plus? read ChatGPT plus vs ChatGPT.

Chat GPT Playground

ChatGPT Playground is a web-based tool that enables users to test GPT models in a fun and interactive environment. It is a wonderful way to learn more about how GPT models work and how they can be used to write text, translate languages, compose other forms of creative material, and respond to your questions.

To use ChatGPT Playground, you must first create an account and then sign in. After signing in, you may use the tool by typing a prompt into the text box. The prompt can be anything you want it to be, such as a question, remark, or creative writing prompt. Following that, GPT will respond in accordance with your request.

Also read All You Need to Know About Chat GPT Playground.

How to get ChatGPT API Access

The ChatGPT API allows programmatic access to ChatGPT, allowing you to integrate it into your current software or applications. This may be accomplished with a number of programming languages, including Python, Java, and C++.

There are many benefits when you integrate ChatGPT into your software or apps. ChatGPT may be used to build intelligent chatbots that can answer user queries, give customer service, and even generate creative content. You may also utilize ChatGPT to increase your applications’ natural language processing skills, making them more user-friendly and efficient.

Here is instruction that help you to get ChatGPT API key.

Choose “API keys” from the menu on the left-hand side of the page.

Give the API key a name that you will remember and press the “Create” button.

The API key will be generated, and you will not be able to access the whole key again, so make a note of it and keep it safe.

It is important to note that removing an API key is irreversible, and you will not be able to recover it.

Enable ChatGPT Developer Mode

ChatGPT Developer Mode is a robust tool that enables developers to tailor the ChatGPT model to their own requirements. As a result, the model will be more adaptive and versatile for a larger range of applications.

ChatGPT can produce clever and entertaining responses in Developer Mode by employing jokes, sarcasm, and online lingo. This can improve the entire user experience by making the model more interesting for users.

It should be noted, however, that Developer Mode can also be used to create inappropriate, rude, or erroneous replies. When utilizing Developer Mode, it is critical to exercise caution and be aware of the potential risks.

Here are the step-by-step instructions on how to enable ChatGPT Developer Mode with prompt:

Visit the ChatGPT website and log in to your account.

If you don’t have an OpenAI account, create one by providing your email address and phone number.

Open a new chat with ChatGPT.

If you want to get the DEVELOPER MODE PROMPT read ChatGPT Developer Mode.

How to use ChatGPT Plugins

ChatGPT plugins are third-party additions that enhance the capabilities of ChatGPT. They are particularly built for language models with safety as a basic premise, and they allow ChatGPT to obtain up-to-date information, execute calculations, and use third-party services.

To install a ChatGPT plugin, you must have a ChatGPT Plus membership. Once you have a subscription, you may install plugins from the ChatGPT Plugins page.

After installing a plugin, you may use it by putting its name into the ChatGPT chat box. If you have the Retrieval plugin installed, for example, you may write “retrieval” into the chat box and ChatGPT will access your personal or corporate information sources.

ChatGPT plugins are an excellent method to expand ChatGPT’s capabilities while also improving its accuracy and safety. If you want to improve your experience with ChatGPT, I recommend that you try out some of the available plugins.

Also read A Step-by-Step Guide to Enabling and Using ChatGPT Plugins.

Finetune ChatGPT and Transfer Learning

Fine-tuning a ChatGPT model is the process of training the model on a given task or domain using a smaller dataset that is more specific to the job at hand. This procedure is used to optimize the model’s performance for a specific use case.

Here are the steps involved in fine-tuning a ChatGPT model:

Choose the right pre-trained model.

Collect and clean your dataset.

Prepare your dataset for training.

Train your model.

Evaluate your model.

Fine-tune your model.

Deploy your model.

Features of ChatGPT

Chat GPT may generate any form of textual material.

Any question asked on Chat GPT can be answered live.

Users will not have to pay any fees to utilize Chat GPT; it is completely free to use.

Users may use Chat GPT to create essays, videos, and biographies, among other things.

People will be able to utilize it in a variety of languages in the near future.

Benefits of ChatGPT

The first and most important feature of ChatGPT is that when people search something on it, it provides accurate and complete replies, which means it provides extensive information about the topic.

When we search anything on Google, it displays us other pages connected to the subject you are looking for, but this does not happen with Chat GPT; instead, it offers you the exact response to the query requested.

If we are not happy with the information provided by Chat GPT, we may alert it so that Chat GPT can change its results and provide the data again.

You will not have to pay any fees to utilize Chat GPT because it is available for free.

ChatGPT Alternative

GPT Chat Alternative ChatGPT is a new type of artificial intelligence; if your device does not support it, you may pick from alternative solutions that may be useful to you. We’d like to point out that, in addition to ChatGPT, there are several AI supporting models available that function similarly to ChatGPT. Options are listed below.

Google Bard – It is a light model variant of the model LaMDA and is an experimental conversational artificial intelligence produced by Google for next generation language. Take a look at how to use google bard AI.

Microsoft Bing – Microsoft Bing is a revolutionary artificial intelligence model that allows for quicker and more accurate search results than ever before. It was just updated to MS Bling.

Chatsonic – This is the newest AI model, and it comes with 16 different personalities. The best thing is that you can communicate to the AI in addition to talking with it. Read How to use ChatSonic.

You Chat – This model also makes it easier to communicate with AI. This model is fantastic since it gives you the model code, which may also provide you suggestions. It also aids in the clarification of complicated topics. Using an AI model to summarize books is quite beneficial.

Troubleshooting ChatGPT login issues

Here are some troubleshooting tips if you are experiencing difficulty signing in to Chat GPT:

Check your internet connection: To visit the Chat GPT website, make sure you have a reliable internet connection.

Clear your browser cache and cookies: Clearing your browser cache and cookies can sometimes help address login difficulties.

Check your login credentials: Check that you are logging in to your Chat GPT account with the right email address and password.

Contact Chat GPT support: If you are still having login troubles, you may get in touch with the Chat GPT 4 support staff.

Best practices for ChatGPT login security

Here are some best practices to follow to ensure the security of your Chat GPT account:

Use a strong and unique password: To prevent unauthorized access to your Chat GPT account, use a strong and unique password.

Enable two-factor authentication: To add an extra layer of security to your Chat GPT account, enable two-factor authentication.

Do not share your login credentials: To avoid unauthorized access, do not share your Chat GPT login details with anybody.

Use a secure network: To avoid potential security breaches, always log in to Chat GPT through a secure network.

Jasper Ai Login: Streamline Your Workflow With Seamless Access

In today’s fast-paced business world, companies are always looking for ways to stay ahead of the competition. One of the ways to do this is by automating their workflows, reducing errors, and improving productivity. Jasper AI is an innovative AI-powered platform that helps businesses achieve these goals by providing them with powerful tools to automate their workflows, gain insights, and make data-driven decisions. In this article, we will focus on the Jasper AI login process and explore how it can help businesses streamline their operations and stay ahead of the curve. We will delve into the features of Jasper AI and how they can benefit businesses of all sizes. So, let’s get started and learn more about Jasper AI and its login process.

In today’s fast-paced business world, time is of the essence and every second counts. In such an environment, manual workflows can be a significant drain on resources and time, leading to reduced productivity and increased costs. This is where Jasper AI comes in, providing businesses with a cutting-edge platform that harnesses the power of AI to streamline their workflows and make data-driven decisions.

Jasper AI is an innovative AI-powered platform designed to automate workflows and improve business efficiency. It utilizes machine learning algorithms to provide businesses with actionable insights, helping them make data-driven decisions. With its user-friendly interface and powerful features, Jasper AI can help businesses of all sizes to automate their workflows and optimize their operations.

Jasper AI comes packed with a range of powerful features that help businesses automate their workflows and make data-driven decisions. Some of its most notable features include:

Jasper AI provides businesses with real-time insights into their operations, helping them make informed decisions. Its powerful data analysis capabilities allow businesses to identify trends, patterns, and anomalies in their data, making it easier to optimize their workflows and operations.

With Jasper AI, businesses can automate repetitive tasks, freeing up time for their employees to focus on more critical tasks. Its workflow automation capabilities allow businesses to streamline their operations, thus reducing costs and improving efficiency.

Jasper AI provides businesses with personalized dashboards, allowing them to access critical information at a glance. Businesses can customize their dashboards to suit their specific needs, making it easier to monitor their operations and make informed decisions.

Jasper AI comes equipped with collaboration tools, allowing teams to work together seamlessly. With its real-time chat and task management features, teams can collaborate more effectively, improving productivity and reducing errors.

To access Jasper AI, you need to follow a simple login process. Here are the steps you need to follow:

Open your web browser and navigate to the Jasper AI website. Here, you will be presented with the Jasper AI login page.

By using Jasper AI, businesses can enjoy a range of benefits, including:

Jasper AI provides businesses with real-time insights into their operations, making it easier to make informed decisions and optimize their workflows.

With Jasper AI, businesses can streamline their workflows, reducing errors and improving productivity.

Jasper AI provides teams with collaboration tools, allowing them to work together seamlessly and improve productivity.

Jasper AI allows businesses to customize their dashboards to suit their specific needs, making it easier to monitor their operations and make informed decisions.

In conclusion, Jasper AI is a powerful AI-powered platform that can help businesses automate their workflows and make data-driven decisions. By leveraging its powerful features, businesses can streamline their operations, reduce costs, and improve productivity. With its easy-to-use interface and collaborative environment, Jasper AI is an excellent solution for businesses looking to optimize their workflows and stay ahead of the competition.

A1: Jasper AI is an innovative AI-powered platform designed to automate workflows and improve business efficiency. It utilizes machine learning algorithms to provide businesses with actionable insights, helping them make data-driven decisions.

A2: Jasper AI comes packed with a range of powerful features, including data analysis, workflow automation, personalized dashboards, and collaboration tools.

A3: By using Jasper AI, businesses can improve their efficiency, gain real-time insights, streamline their workflows, collaborate more effectively, and customize their dashboards to suit their specific needs.

A5: Yes, Jasper AI is an excellent solution for businesses of all sizes looking to streamline their operations and improve efficiency.

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A Quick Guide To Data Science And Machine Learning

This article was published as a part of the Data Science Blogathon.

Introduction

Do you know that data is the ultimate goal for every organization, and hence actually I believe that it is the ruler? Without data, nothing can be achieved. From a business perspective to solving problems for end-to-end applications we require data.

This data needs to be in order to derive some purpose from it. Because forms of data can be texts, images, videos, infographics, gifs, etc. Some data are structured while most of them are unstructured. Collection, analysis, and prediction are the necessary steps that are to take into consideration with this data.

Image Source

Now, what exactly are Data Science and Machine learning?

I’ll just define it for you in a simple way. All the context related to this can be similar if you search somewhere else. So data science is the science of deriving insights from data for the purpose of gaining the most important and relevant source of information. And with a reliable source of information making predictions by the use of machine learning. So I guess you might have very well understood this definition. Now my point here is that with data science you can bring meaningful insights.

Why there is a need for data science and machine learning?

Data has been there for a very long time. During earlier times analysis of data was done by statisticians and analysts. Analysis of data was done primarily to get the summary and what were the causes. Mathematics was also the core subject of interest when used for this work.

How data science and machine learning solutions?

Data science uses statistical methods, maths, and programming techniques to solve these problems. The programming techniques are extensively used for analysis, visualizing, and making predictions. So you see it does all the work of a statistician, programmer, and maths. The study of all these major areas makes the best way of dealing with such big data. Machine learning is integrated by making models from various algorithms. 

This is done for model building in data science which helps for future predictions. These predictions depend upon the new data which is given to the model without explicitly telling it what to do. The model understands it and then gives us the output or solution. For example, banks use machine learning algorithms to detect if there is a fraud transaction or not. Or if this customer will default in paying his credit card dues.

Cancer detection in the health care industry uses data science and machine learning to detect if patients are prone to cancer or not. So there are a lot of examples around us where companies are widely using this. Online food delivery companies like zomato or swiggy use for recommending us food to order based on what have we ordered in the past. This type of machine learning algorithm is a recommendation system. They are also used by YouTube, Spotify, Amazon, etc.

The Data science life cycle.

There are various steps involved in solving business problems with data science.

1. Data acquisition – this process involves the collection of data. Depends on are objectives or what is the problem that needs to be solved. By this means, we tend to gather the required data.

2. Data pre-processing – this stage involves processing data in a structured format for ease of use. Unstructured data cannot be used for any analysis because it will give wrong business solutions and can have a bad impact on consumers.

3.Exploratory data analysis (EDA) – it is one of the most important stages where all the summarizations of data by statistics and math’s. Identifying the target(output) variable and predictor(independent) variables. Visualization of data and then sorting all the necessary data that will be used for predictions. Programming plays a vital role in this. A data scientist spends almost 75% of their time on this to understand their data very well. Further in this stage data is divided into training and test data.

4. Model building – After EDA we select the most appropriate methods to build our model. This is done with the use of machine learning algorithms. Selection of algorithms like regression, classification, or clustering. As machine learning algorithms are of 3 types. Supervised learning, unsupervised learning, and reinforcement learning. There are different sets of algorithms for all these types. Selecting them depends mainly on what is a problem are we trying to solve.

5. Evaluation of model – model evaluation is done to see how efficient our model is doing on the test data. Minimizing errors and also tuning of the model.

6. Deployment of model – model deployment is done as now it is fit to cater to all the future data for making predictions.

Note: There are re-evaluation techniques involved even after deployment to keep our model up-to-date.

How all this is done?

Data science tools and frameworks are specifically used for this process. Some popular tools like jupyter, tableau, tensor flow. Programming languages such as Python and R are important to do these tasks. To know and learn any one language is sufficient. Python and R are widely used for data science because there are additional libraries that make it easy for any data science project. I prefer Python as it is open-source, easy to learn, and has huge community support across the world. Statistics, math, and linear algebra are some core subjects you need to understand before getting involved in any data science or machine learning project.

In the future, these sources of data will keep on expanding and there will be a need to harvest all of these. An important part or information to get from this data will only derive the need for data scientists and machine learning engineers.

Mohammed Nabeel Qureshi

Related

Explainable Ai (Xai) In 2023: Guide To Enterprise

Explainable AI (XAI) comes in to solve this black box problem. It explains how models draw specific conclusions and what the strengths and weaknesses of the algorithm are. XAI widens the interpretability of AI models and helps humans to understand the reasons for their decisions.

What is XAI?

XAI is the ability of algorithms to explain why they come up with specific results. While AI-based algorithms help humans to make better decisions in their businesses, humans may not always understand how AI reached that conclusion. XAI aims to explain how these algorithms reach these conclusions and what factors affected the conclusion. In Wikipedia, XAI is defined as:

Explainable AI (XAI) refers to methods and techniques in the application of artificial intelligence technology (AI) such that human experts can understand the results of the solution. It contrasts with the concept of the “black box” in machine learning, where even their designers cannot explain why the AI arrived at a specific decision.

Why is it relevant now?

Shortly, XAI creates a transparent environment where users can understand and trust AI-made decisions.

Businesses use AI tools to improve their performance and make better decisions. However, besides benefiting from the output of these tools, understanding how they work is also vital. The lack of explainability prevents companies from making relevant “what-if” scenarios and creating trust issues because they don’t understand how AI reaches a specific result.

Gartner states that the lack of explainability is not a new problem. However, AI tools become more sophisticated to deliver better results in businesses, and this problem draws more attention now. These more complex AI tools are performed in a “black box,” where it is hard to interpret the reasons behind their decisions.

While humans can explain simpler AI models like decision trees or logistic regression, more accurate models like neural networks or random forests are black-box models. The black box problem is one of the main challenges of machine learning algorithms. These AI-powered algorithms come up with specific decisions, but it is hard to interpret the reasons behind this decision.

XAI is relevant now because it explains to us the black box AI models and helps humans to perceive how AI models work. Besides the reasoning of specific decisions, XAI can explain different cases to reach different conclusions and strengths/weaknesses of the model. As businesses understand AI models better and how their problems are solved, XAI builds trust between corporates and AI. As a result, this technology helps companies to use AI models in full potential.

How does it work?

Today’s AI technology delivers a decision or recommendation for businesses by benefiting from different models. However, users can’t easily perceive how the results are achieved or why the model didn’t deliver a different result. Besides delivering accurate and specific results, XAI uses an explainable model with an explanation interface to help users to understand for the model works. We can categorize XAI under two types:

Explainable models like Decision Trees or Naive Bayes

These models are simple and quickly implementable. The algorithms consist of simple calculations that can even be done by humans themselves. Thus, these models are explainable, and humans can easily understand how these models arrive at a specific decision. To observe the reasons behind that specific decision, users can quickly analyze the algorithm to find the effects of different inputs.

Explaining black box models

Explaining more complex models like Artificial Neural Networks (ANNs) or random forests is more difficult. They are also referred to as black box models due to their complexity and the difficulty of understanding relations between their inputs and predictions.

Businesses use these models more commonly because they are better performing than explainable models in most commercial applications. To explain these models, XAI approaches involve building an explanation interface that has data visualization and scenario analysis features. This interface makes these models more easily understandable by humans. Features of such an interface include:

Visual analysis

Source: Google Cloud

XAI interfaces visualize outputs of different data points to explain the relationships between specific features and the model predictions. In the above example, users can observe X and Y values of different data points and understand their impact on inference absolute error from the color code. In this specific image, the feature represented in the X axis seem to determine the outcome more strongly than the feature represented in the Y axis.

Scenario analysis

Source: Fiddler Labs

XAI analyzes each feature and analyzes its effect on the outcome. With this analysis, users can create new scenarios and understand how changing input values affect the output. In the above example, users can see the factors that positively/negatively affect the predicted loan risk.

Improved explainability and transparency: Businesses can understand sophisticated AI models better and perceive why they behave in certain ways under specific conditions. Even if it is a black-box model, humans can use an explanation interface to understand how these AI models achieve certain conclusions.

Faster adoption: As businesses can understand AI models better, they can trust them in more important decisions 

Improved debugging: When the system works unexpectedly, XAI can be used to identify problem and help developers to debug the issue.

Enabling auditing for regulatory requirements

How does XAI serve AI ethics?

Explainability and transparent

Human-centric and socially beneficial

Fair

Secure and safe

Accountable

One of the primary purposes of XAI is to help AI models to serve these five components. Humans need to have a deep understanding of AI models to understand if they follow these components. Humans can’t trust an AI model that they don’t know how it works. By understanding how these models work, humans can decide if AI models follow all of these five characteristics. 

What are the companies providing XAI?

Most XAI vendors present different explanation interfaces to clarify complex AI models. Some example vendors include:

Google Cloud Platform: Google Cloud’s XAI platform uses your ML models to score each factor to see how each of them contributes to the final result of predictions. It also manipulates data to create scenario analyses 

Flowcast: This API based solution aims to unveil black box models by being integrated into different company systems. Flowcast creates models to clarify the relationships between input and output values of different models. To achieve that, Flowcast relies on transfer learning and continuous improvement.

Fiddler Labs: This US startup provides users different charts to explain AI models. These charts include similarity levels between different scenarios. By using available data, Fiddler analyzes impact of each feature and creates different what-if scenarios.

Here is a list of more AI-related articles you might be interested in:

If you have questions on Explainable AI (XAI), feel free to contact us:

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

Are You Charging Enough? A Quick Guide To Digital Marketing Prices

The demand for digital marketing services has never been stronger.

At the same time, the competition for selling those services has never been greater.

What is the best way to sell your services in such a highly competitive environment?

Setting prices can be difficult, especially if you are just starting out.

It’s hard for many to determine “How much would a client value me?” or “What is my service actually worth?”

You don’t want to set your prices unreasonably high, but at the same time you don’t want to leave money on the table.

Ultimately, your prices should be based on what services you provide, the market value of those services and most importantly, what clients and prospects are willing to pay.

Over time, you can build a portfolio of success stories as well as a financially rewarding career.

There are a number of ways to price digital marketing services, with the most popular explained, below.

Packaged Pricing

Many digital marketers offer a selection of “packages.”

Clients are given the option to pick and choose from available services.

Packaged pricing is convenient for both the provider and clients, providing transparency regarding deliverables.

Clients can choose a package that best fits their needs and budget.

If you are offering packaged pricing, be sure to have the knowledge and experience necessary to perform all of the tasks that you are promoting.

Most packages are patterned after the tried and true “Good, Better, Best” bundle approach.

An added benefit of this form of pricing is that it pre-qualifies prospects.

Potential buyers know the cost of services upfront.

Public Pricing

Instead of bundling options, one may decide it’s better to price services individually.

That way, prospects have the option to pick and choose precisely what they want or need.

The public pricing model is especially appealing to individuals who don’t like to sacrifice privacy by filling out a contact form, just to get pricing info.

Price Quote Calculator

This option is effectively a Hybrid of the Package and Public models.

Just set a price for each service, then clients can then build their own packages, using the calculator.

Price = (Service choice + Extra services) * Quantity

This method allows prospects to buy exactly what they want at a budget they are comfortable with.

This also lets clients get a customized quote without having to email or call you.

There are a number of plugins, widgets, and scripts available online that make it relatively easy to implement.

Hourly Pricing

Hourly pricing can be tricky.

It’s often difficult to estimate the time necessary to complete a given task.

Startups and clients with smaller budgets may steer clear of hourly pricing because they don’t want to be surprised and end up with a hefty bill they cannot afford.

That said, smaller clients with minimal and predictable needs may prefer an hourly approach.

Enterprise-level accounts with larger budgets and complex websites expect to pay by the hour.

They understand that unforeseeable issues, requiring added resources, are to be expected.

As with any service, there is a wide range of pricing in the digital marketing space.

For SEO, you can expect to pay $100 – $150 per hour.

The going rate for content creators ranges from $16 to $100 per hour.

Projects demanding a higher level of authority or expertise may pay more.

Video marketing has seen a huge boom, with many more businesses getting on board.

The cost of video production typically runs anywhere from $19 to $100 per hour. Video marketers doing complex work can earn much more, making hundreds of dollars an hour.

Smart digital marketers are very careful with hourly contracts. They often overestimate how much time it will take to complete a project.

This protects them against losing money, in the event that a job takes longer than expected. That said, don’t go overboard or you won’t be competitive.

Flat Fees/Project-Based Pricing

Some SEO projects, like Google penalty recovery, are one-offs.

Other projects, like keyword research, technical audits and content audits are important, but not required every month.

Those are the kinds of tasks that are perfect candidates for flat-fee pricing.

If a client hires you for PPC, you can expect to earn anywhere from $500 to $5,000 per month in flat (management) fees.

Depending on how the deal is structured, you may also be able to negotiate an extra 15-30% of ad spend.

An SEO campaign runs, on average, $2,500 to $5,000 per month in the U,S.

Larger websites will spend more. Some pay as much as $25,000 to $50,000 per month.

Content creation is frequently priced by the project (flat rate).

According to Jason McBride, beginning freelance writers can expect to earn anywhere from $25 for a basic 350-500 word blog post up to $140 for a 500-1,000 word sales page.

Content that is not strictly text-based may command more.

Graphic design, for example, can add an extra layer of complexity not associated with just researching a topic and writing about it.

White paper and technical marketing also requires special skills and content creators can often charge more for those.

Flat fee prices for video marketing projects are determined by the scope of work.

Some clients are prepared to pay upwards of $50,000 for video marketing services. Others have no budget and start their search on Fiverr.

Flat fee projects can be great, but problems arise if you underestimate how much time, effort, and resources will be needed.

If your project ends up taking 20 more hours than you factored into your agreement, your profit margin will take a severe hit.

Remember, if you’re not making money it isn’t a business – it’s a hobby.

Conclusion

It’s preferable to make an evaluation before ever establishing a budget.

Quite often, prospective clients really don’t know what they need.

A consultation will help put them on the right path to making an informed decision.

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In-Post Image Credit: RedMaiden  / Pixabay

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