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More accurate than GPT-4: How Snyk’s CodeReduce improved the performance of other LLMs

Blog post from Snyk

Post Details
Company
Date Published
Author
Eric Fernandez
Word Count
1,245
Company Posts That Month
13
Language
English
Hacker News Points
-
Post removed?
No
Summary

Snyk has improved its AI model, DeepCode AI Fix, with a new technology called CodeReduce, which uses program analysis to limit the model's attention mechanism and improve fix generation quality. The technology was developed by leveraging open-source security fixes and a comprehensive dataset of labeled code issues. This allows the model to focus on specific portions of code needed for fixing security issues, reducing hallucinations and processing time. The results show that models using CodeReduce outperform those without it, with significant improvements in accuracy and relevance across various LLMs and security issue categories.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 17 3,001 352 143 -18%
Real-time 1 2,372 655 216 -5%
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