Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
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Updated
Apr 1, 2024 - HTML
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
This Chatbot helps farmers make informed decisions by leveraging the power of LLM Model from OpenAI.
Monitoring and evaluating LLM apps with Langfuse. Presented at PyConZA 2024.
LLM Framework for LLMs
This Agentic system is designed to handle complex data analysis tasks by breaking them down into smaller subtasks and delegating them to specialized agents. The system uses a multi-agent architecture to improve performance and scalability.
🌱 This repository is devoted to the emergence of Generative Simulation—a concept that hybridizes large language models (LLMs) and simulation. Simulation engines are developed or wrapped in such a way that they can be directly manipulated by generative AI, without requiring intensive retraining or fine-tuning.
Custom ai chatbot that user making decisions by leveraging the power of LLM model from OpenAI
LLM Agent with access to multiple tools. Ask for information about the weather, current events, YouTube links, math questions or itself. Acts as Romeo from Romeo and Juliet.
An essay to help facility the transition to AGI and then ASI. A traditional Software Engineering perspective.
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