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Announcing Eval Protocol

Blog post from Fireworks AI

Post Details
Company
Date Published
Author
-
Word Count
783
Company Posts That Month
9
Language
English
Hacker News Points
-
Post removed?
No
Summary

Eval Protocol (EP) is an open-source library and SDK designed to bring software development lifecycle rigor to the development of large language model (LLM) applications, providing a standardized method for evaluating these models akin to unit testing and CI/CD automation. EP addresses the challenges developers face with LLMs by standardizing evaluations from initial model selection to production deployment, offering immediate benefits such as automated CI/CD checks to prevent regressions. It supports both single-turn and multi-turn evaluations, allowing developers to optimize and customize their models over time. EP facilitates seamless integration into existing workflows through tools like GitHub Actions and provides resources to help developers transition from basic quality checks to advanced model customization, effectively bridging the gap between quick wins and long-term improvements in LLM application development.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 7 4,566 738 226 -7%
MCP 5 4,941 346 138 +31%
AI Model Fine-tuning 2 680 138 73 -22%
Observability 1 2,199 431 143 -7%
Reinforcement learning 1 104 48 32 -38%
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