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A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search.
A python client for the GitHub API
Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.
Inline Matplotlib backend for Jupyter
A guidance language for controlling large language models.
LLM Agent that leverages cheminformatics tools to provide informed responses.
Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using La
This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers
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β¨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for
FinGPT: Open-Source Financial Large Language Models! Revolutionize π₯ We release the trained model on HuggingFace.
CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mappi
π€ Build and explore powerful AI agents that solve real-world tasks using tools, memory, and reasoning within a collaborative hub.
Detect underpriced products by scraping deals and using AI models to estimate fair prices for profit opportunity identification.
Generate a custom newspaper with an AI agent based on your favorite YouTube channels.
π€ Analyze financial data effortlessly with FinRobot, an open-source AI agent platform powered by large language models for insightful decision-making.
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.