Today, we released a new update for Charlie Mnemonic – our open-source AI assistant with Long-Term Memory (LTM). LTM helps the agent learn new skills and gain knowledge from you. Now, with Memory Explorer. Another helpful addition is the Stoic Mentor personality, which allows
AGENTS
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Worker Agents Run Smaller Models Cost Efficiency
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Exactly! Best part each Worker agent is capable of running smaller model saving cost
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Methods to Find and Measure Problematic AI Model Responses
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If you have prod responses reviewing the worst ones usually finds fixable issues; try to find some crude measure of quality (flags or other behavioral indicators from users, or LLM-as-judge) to find cases where the model misunderstands the prompt.
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Discover LLM Apps with RAG and AI Agents GitHub Repository
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Find all the awesome LLM Apps demo with RAG and AI agents in the following Github Repo. P.S: Don't forget to star the repo to show your support
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Docs-QA AI Agent: Chat Interface for Knowledge Base
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5. Click on Create Chatbot and Ask any questions to the AI Agent
— Shubham Saboo (@Saboo_Shubham_) 22 mai 2024
It creates a Chat UI with the ability to chat with the docs in the knowledge base.
Working demo of Docs-QA AI agent 👇 pic.twitter.com/8BT0J53JPW5. Click on Create Chatbot and Ask any questions to the AI Agent It creates a Chat UI with the ability to chat with the docs in the knowledge base. Working demo of Docs-QA AI agent
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System Prompt Design for Knowledge Base AI Assistant
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3. Provide the source prompt in English Prompt: You are an assistant, designed to provide answers to user queries from your knowledge base. However, if you are unable to find the answer to a query within your knowledge base, it is acceptable to respond by saying "I don't know".
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Creating an AI Agent: Naming and Documentation QA RAG
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2. Give a Name to your AI Agent For this example, let's create an AI agent that can chat with documentation and provide pin-pointed answers to users questions. Let's name it as: 'Docs-QA-RAG'
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Create AI Chatbots with Blackbox Platform Guide
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1. Go to https://
blackbox.ai and click on create chatbot. -
Build Custom AI RAG Agent Chat Internal Data Free
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Build a custom AI agent with RAG to chat with your internal data without writing a single line of Python Code (100% free):