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Explain AI app

Interpreting machine learning models.

Why Install Explain AI to replace a human task?
Artificial Intelligence and Creativity Business and Event Management Communication and Messaging Data and Analytics Utilities and Tools

AI Information

What is Explain

Kahma ChatGPT Plugin is an AI tool that enables businesses to integrate a chatbot into their website or application. This tool leverages the power of GPT (Generative Pre-trained Transformer) technology to generate human-like responses to customer inquiries. With Kahma ChatGPT Plugin, businesses can create customizable chatbots that can handle a wide range of customer interactions, including customer support, lead generation, and sales. This tool is easy to set up and can be integrated into a website or application with just a few lines of code. Additionally, Kahma ChatGPT Plugin offers analytics and reporting features that enable businesses to track the effectiveness of their chatbot and make improvements over time. Overall, Kahma ChatGPT Plugin is a valuable tool for businesses looking to improve their customer engagement and streamline their customer support operations.

TLDR: AI for Interpreting machine learning models. Copy and paste these prompts into Explain.

Explain Prompts

Pluginplay prompts for Explain

Explain can be installed on

Explain - Opensource ChatGPT Plugin

Who is Explain for?

1. Data scientists and machine learning engineers who want to understand how AI models work and improve their performance.
2. Business analysts and executives who want to interpret the results of AI models and make informed decisions based on them.
3. Regulators and policymakers who need to ensure that AI models are transparent and accountable.
4. Customers and end-users who want to know how AI-based solutions affect their lives and make sure they are fair and unbiased.
5. Researchers and academics who want to study the theory and practice of AI and contribute to its development.

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What are the use cases for Explain?

Sure, here are five potential business use cases and other use cases for EXPLAIN:

1. Model Validation: AI models are used extensively in business for tasks such as forecasting, decision-making, and fraud detection. However, without a clear understanding of how these models work, it can be challenging to validate their results. EXPLAIN can help businesses validate their AI models by providing transparency into the inputs, outputs, and decision-making processes, making it easier to detect errors or biases.

2. Compliance and Regulation: In many industries, such as finance and healthcare, AI models are subject to strict compliance and regulatory requirements. EXPLAIN can help businesses ensure that their AI models comply with regulations by providing a clear understanding of how the models work, as well as the reasoning behind their decisions and predictions.

3. Interpretability Research: AI interpretability is a rapidly growing field of research that aims to make AI more transparent and trustworthy. EXPLAIN can be used by researchers to gain insights into how different AI models and algorithms

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