🚀🤖 LLMs, watsonx, AI Agents, etc.

📚 Overview

This project explores the intersection of Large Language Models (LLMs), IBM watsonx.ai, and AI agents. It aims to provide tools, examples, and insights into building and deploying intelligent systems that leverage these technologies.

✨ Features

• 🔗 Integration with IBM watsonx for advanced AI capabilities.
• 🧠 Examples of AI agent workflows and use cases.
• 📖 Tutorials and documentation for working with LLMs.
• 🛠️ Tools for experimentation and prototyping.

✅ Requirements

• Unix-like OS as Linux, macOS (Not tested on Windows with WSL yet).
• Python 3.11 or higher.
• uv package manager - Installation
• watsonx.ai API key (optional, or use local LLMs with Ollama)
• Ollama (optional) - Installation
• BeeAI platform (optional) - Installation

⚙️ Setup

1. Clone the repository:

   git clone https://github.com/barvhaim/beeai-lab.git
   cd beeai-lab

2. Create a virtual environment:

   uv sync

3. Continue with the relevant README.md file in the relevant directory:

• 📖 LLMs
• 🤖 AI Agents with BeeAI

🚀 Using the labs

Run the relevant example:

• 📖 LLMs
• 🤖 AI Agents with BeeAI