This project demonstrates how to summarize meeting transcripts using LLMs (Large Language Models) with different prompt engineering strategies.
We compare approaches like direct summaries, bullet points, role-based summaries, and optimized prompts to evaluate how prompt design affects output.
- Compare multiple prompt engineering strategies
- Measure compression ratios (how much text is reduced)
- Visualize results with charts
- Easy-to-run notebook for experimentation
- Clone this repo
git clone https://github.com/your-username/transcript-summarization-prompt-optimization.git cd transcript-summarization-prompt-optimization
Install dependencies
pip install -r requirements.txt Run the notebook
Open notebooks/transcript_summarizer.ipynb
Add your OPENAI_API_KEY in a .env file or environment variable
Execute cells to generate summaries and results
| prompt_type | output | input_words | output_words | compression_ratio |
|---|---|---|---|---|
| direct | Q2 earnings grew 20% driven by new products, but costs rose due to supply chain issues. | 42 | 19 | 0.45 |
| bullet_points | - Revenue up 20% - Driven by product launches - Costs increased from supply chain issues |
42 | 16 | 0.38 |
| role_based | As a financial analyst: Q2 growth strong at 20%, though costs surged. Q3 outlook positive as logistics improve. | 42 | 22 | 0.52 |
| optimized | Q2: +20% revenue from launches; costs rose on supply issues; Q3 margins expected to improve. | 42 | 18 | 0.43 |
📊 Visual Insights Compression Ratio by Prompt Type
Input vs. Output Word Counts
🔍 Example Transcript (input):
Alice: Welcome everyone. Today we’ll review Q2 earnings.
Bob: Revenue increased by 20% year-over-year, driven by new product launches.
Carol: However, operational costs rose significantly due to supply chain issues.
Dave: Looking ahead, we expect stronger margins in Q3 as logistics stabilize.
Optimized Prompt Summary (output):
Q2: +20% revenue from launches; costs rose on supply issues; Q3 margins expected to improve.
🤝 Contributing Pull requests are welcome. For major changes, please open an issue first to discuss what you’d like to change.