LLM Evaluation Framework - Catch Regressions Before Production by Emmanuel NwangumaLLM Evaluation Framework - Catch Regressions Before Production by Emmanuel Nwanguma
LLM Evaluation Framework - Catch Regressions Before ProductionEmmanuel Nwanguma
I'll set up an evaluation framework for your LLM application so you can catch prompt regressions and model degradation before they reach users — not after.
What's included:
Baseline output capture for your key prompts
Automated evaluation suite (output diffing, semantic similarity, custom metrics)
CI/CD integration (GitHub Actions) — fails the build on regression
Multi-provider support (OpenAI, Anthropic, Groq, Ollama)
Monitoring dashboard setup
Documentation so your team can maintain it
Based on evalflow — my open-source pytest-style quality gate for LLMs, used in production pipelines.
LLM Evaluation Framework - Catch Regressions Before ProductionEmmanuel Nwanguma
Starting at$100
Duration1 week
Tags
OpenAI
Python
AI
CI/CD
LLM
MLOps
I'll set up an evaluation framework for your LLM application so you can catch prompt regressions and model degradation before they reach users — not after.
What's included:
Baseline output capture for your key prompts
Automated evaluation suite (output diffing, semantic similarity, custom metrics)
CI/CD integration (GitHub Actions) — fails the build on regression
Multi-provider support (OpenAI, Anthropic, Groq, Ollama)
Monitoring dashboard setup
Documentation so your team can maintain it
Based on evalflow — my open-source pytest-style quality gate for LLMs, used in production pipelines.