This repository provides code snippets and examples from the 100x Applied AI cohort, focusing on practical implementations of Large Language Model (LLM) workflows. It is designed for developers and researchers looking to understand and build applications leveraging advanced LLM patterns like RAG, agentic behavior, and function calling.

How It Works

The project is structured into distinct directories, each addressing a specific LLM concept. It demonstrates various approaches to RAG, agent orchestration, and chat completions across different providers. The code emphasizes practical application, including prompt chaining, router-based workflows, and parallel processing patterns, offering concrete examples for building sophisticated AI applications.

Quick Start & Requirements

• Install: pip install -r requirements.txt after cloning and setting up a virtual environment.
• Prerequisites: Python 3.8+, pip. Requires API keys for services like OpenAI and Hugging Face, configured in a .env file.
• Resources: Setup involves cloning, environment creation, dependency installation, and API key configuration.

Highlighted Details

• Implements LLM Workflows, RAG, and Agentic Patterns.
• Includes examples for Chat Completions, Function Calling, and Hugging Face integration.
• Features code review automation, evaluation, and optimization techniques.
• Demonstrates Notion API integration and FastAPI endpoints.

Maintenance & Community

Information regarding maintainers, community channels, or roadmap is not explicitly detailed in the provided README. Contributions are welcomed via pull requests.

Licensing & Compatibility

The project is licensed under terms specified in the LICENSE file. Specific details regarding commercial use or compatibility with closed-source projects are not provided.

Limitations & Caveats

The repository contains code snippets and examples, implying that it may not be a fully integrated, production-ready application. Users will need to consult individual directory READMEs for specific usage instructions and ensure their API keys and configurations are correctly set up.