Add Week 1 Exercise: Tech Question Explainer

week1/community-contributions/philip/README.md

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+# Week 1 Exercise - Tech Question Explainer
+
+**Author:** Philip Omoigui
+
+## Description
+
+A technical question explainer tool that demonstrates familiarity with both OpenAI API and Ollama. This tool:
+
+- Takes a technical question
+- Gets responses from both GPT-4o-mini and Llama 3.2
+- Compares the two responses using GPT-5-nano
+- Evaluates which explanation is better for beginners
+
+## Features
+
+- **Dual Model Response**: Uses both OpenAI's GPT-4o-mini and local Llama 3.2
+- **Streaming Output**: Real-time display of responses as they're generated
+- **Automated Comparison**: Uses GPT-5-nano to evaluate and rank both responses
+- **Beginner-Focused**: Optimized for educational content with clear, beginner-friendly explanations
+
+## Evaluation Criteria
+
+The comparison evaluates responses on:
+1. **Beginner Friendliness** - How easy is it for a beginner to understand?
+2. **Tackles Main Point** - How well does it address the core concept?
+3. **Clear Examples** - How effective are the examples and explanations?
+
+## Files
+
+- `week1_EXERCISE.ipynb` - Main notebook with the tech explainer implementation
+
+## Usage
+
+Simply modify the `question` variable with your technical question, and the tool will:
+1. Generate explanations from both models
+2. Stream the responses in real-time
+3. Automatically compare and evaluate which explanation is better
+
+## Requirements
+
+- OpenAI API key
+- Ollama running locally with llama3.2 model
+- Python packages: openai, python-dotenv, IPython
+