LearningAI-Agents

A daily learning journal for hands-on experiments with AI agents and LLMs (Gemini, Groq, etc). For developers interested in agentic workflows, prompt engineering, and automated evaluation.

What's Inside?

• Jupyter Notebooks (in Foundation/): Step-by-step explorations, API usage, and daily progress.
• foundation.py: Core logic for chatbot and LLM evaluation.
• Personal chatbot: Example using your own summary and LinkedIn data.
• LLM comparison & evaluation: Run prompts through different models and compare results.

Getting Started

1. Clone this repo & install dependencies (pip install -r requirements.txt).
2. Add your API keys in a .env file:

   GEMINI_API_KEY=your_gemini_key
   GROK_API_KEY=your_grok_key
   

3. Open any notebook in Foundation/ and start experimenting!

Features

• LLM API integration (Gemini, Groq)
• Agentic prompt chaining
• Automated response evaluation
• Push notification (Pushover) demo

Author

ianshpwr (Ansh)

---

This repo is a personal playground and updated regularly.