Analyzing LLM Performance: A Comparative Study of ChatGPT and Gemini with Markdown History
Analysis
Key Takeaways
- •The article proposes using Markdown to format chat histories for LLM comparison.
- •It aims to identify a user's key problems and compare the strengths of different LLMs (ChatGPT, Gemini).
- •It includes instructions, templates, and emphasizes the importance of masking personal/sensitive information.
“By converting history to Markdown and feeding the same prompt to multiple LLMs, you can see your own 'core issues' and the strengths of each model.”