Automated quality evaluation for RL agent discoveries using LLM as Judge, rule based validation, and closed loop reward feedback
-
Updated
Apr 9, 2026 - Python
#
evaluation-pipeline
Here are 4 public repositories matching this topic...
End-to-end AI evals orchestration platform for comparing LLM outputs across providers with transcription, structured logging, human review, and Supabase-backed decision tracking.
gemini openai multi-model transcription human-in-the-loop model-comparison supabase anthropic llm-evaluation ai-evals evaluation-pipeline
-
Updated
Mar 10, 2026 - TypeScript
LLM-as-a-Judge evaluation pipeline — score and compare LLM outputs with a separate judge LLM
python nlp gemini openai model-evaluation pairwise-comparison llm llm-evaluation llm-as-a-judge evaluation-pipeline
-
Updated
Apr 6, 2026 - Python
Production-grade Safe GenAI Agent Orchestrator with intent routing, hallucination guard, tool orchestration, evaluation pipeline, and multi-screen Next.js dashboard.
typescript nextjs ai-safety prisma ai-agent llm genai fullstack-ai agent-orchestrator evaluation-pipeline
-
Updated
Feb 21, 2026 - TypeScript
Improve this page
Add a description, image, and links to the evaluation-pipeline topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the evaluation-pipeline topic, visit your repo's landing page and select "manage topics."