I'd like to share our technical journey migrating our code review system from Mistral-Large-2407 to 2411, and the key challenges we overcame. Here are the most interesting findings:
1. Prompt Pattern Evolution
- Initial challenge: Direct model upgrade led to significant quality degradation
- Root cause: Changes in 2411's prompt processing architecture
# Previous prompt format for Mistral-Large-2407
<s>[INST] user message[/INST] assistant message</s>[INST] system prompt + "\n\n" + user message[/INST]
# New optimized prompt format for Mistral-Large-2411
<s>[SYSTEM_PROMPT] system prompt[/SYSTEM PROMPT][INST] user message[/INST] assistant message</s>[INST] user message[/INST]
- Solution: Implemented enhanced prompt patterns through LangChain
2. API Integration Insights
- Built custom HTTP client interceptor for debugging
- Discovered crucial differences in message formatting
- Leveraged LangChain's abstraction layer effectively
3. Key Technical Improvements
- Enhanced review focus through optimized prompts
- Improved output reliability and format compliance
- Eliminated response truncation issues
This is implemented in our AI Code Review Github APP LlamaPReview [https://jetxu-llm.github.io/LlamaPReview-site/]. Happy to discuss specific implementation details or share more technical insights about working with Mistral-Large-2411 in production.
I'd like to share our technical journey migrating our code review system from Mistral-Large-2407 to 2411, and the key challenges we overcame. Here are the most interesting findings:
1. Prompt Pattern Evolution
2. API Integration Insights 3. Key Technical Improvements This is implemented in our AI Code Review Github APP LlamaPReview [https://jetxu-llm.github.io/LlamaPReview-site/]. Happy to discuss specific implementation details or share more technical insights about working with Mistral-Large-2411 in production.