Fast LLM & Agents
Provides practical examples and theoretical concepts for developing LLM-powered agents and multi-agent systems using tools like Google ADK.
About
Fast LLM & Agents is a resource for exploring the world of Large Language Models (LLMs) and agent development, offering a blend of theoretical understanding and practical application. It covers LLM architectures, RAG techniques, fine-tuning strategies, and agent frameworks, with a focus on the Google Agent Development Kit (ADK). The repository includes sample code and projects demonstrating agent capabilities, multi-agent workflows, and integration with tools like AWS Bedrock and Ollama, providing a hands-on approach to learning and implementing LLM-powered agents.
Key Features
- LLM projects for AI content detection and Model Context Protocol (MCP) implementation
- Multi-agent workflow examples
- Integration with AWS Bedrock, Ollama and LiteLLM
- Streamlit GUI implementations for agents and projects
- 4 GitHub stars
- Agent sample codes with Google Agent Development Kit (ADK)
Use Cases
- Building multi-agent systems for collaborative problem-solving
- Experimenting with LLM architectures and fine-tuning techniques
- Developing AI agents for automating complex tasks
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