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:<p>1. Prompt Pattern Evolution<p><pre><code> - 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
</code></pre>
2. API Integration Insights<p><pre><code> - Built custom HTTP client interceptor for debugging
- Discovered crucial differences in message formatting
- Leveraged LangChain's abstraction layer effectively
</code></pre>
3. Key Technical Improvements<p><pre><code> - Enhanced review focus through optimized prompts
- Improved output reliability and format compliance
- Eliminated response truncation issues
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This is implemented in our AI Code Review Github APP LlamaPReview [<a href="https://jetxu-llm.github.io/LlamaPReview-site/" rel="nofollow">https://jetxu-llm.github.io/LlamaPReview-site/</a>]. Happy to discuss specific implementation details or share more technical insights about working with Mistral-Large-2411 in production.