AI Topic: LLM Evaluations

Platforms and frameworks for evaluating, testing, and benchmarking LLM systems and AI applications. These tools provide evaluators and evaluation models to score AI outputs, measure hallucinations, assess RAG quality, detect failures, and optimize model performance. Features include automated testing with LLM-as-a-judge metrics, component-level evaluation with tracing, regression testing in CI/CD pipelines, custom evaluator creation, dataset curation, and real-time monitoring of production systems. Teams use these solutions to validate prompt effectiveness, compare models side-by-side, ensure answer correctness and relevance, identify bias and toxicity, prevent PII leakage, and continuously improve AI product quality through experiments, benchmarks, and performance analytics.

AI Tools in LLM Evaluations (10)

Agenta

Prompt Management

Open-source LLMOps platform for prompt management, evaluation, and observability for developer and product teams.

LLM Stats

13d

LLM Evaluations

Public leaderboards and benchmark site that publishes verifiable evaluations, scores, and performance metrics for large language models and AI providers.

SciArena

13d

Academic Research

Open evaluation platform from the Allen Institute for AI where researchers compare and rank foundation models on scientific literature tasks using head-to-head, literature-grounded responses.

Artificial Analysis

13d

Performance Metrics

Independent AI model benchmarking platform providing comprehensive performance analysis across intelligence, speed, cost, and quality metrics

LM Arena

28d

Performance Metrics

Web platform for comparing, running, and deploying large language models with hosted inference and API access.

Scale AI

1mo

LLM Evaluations

Scale AI provides enterprise-grade data labeling, model evaluation, RLHF, and a GenAI Data Engine with API and SDKs to build, fine-tune, and deploy production AI systems.

Confident AI

1mo

LLM Evaluations

End-to-end platform for LLM evaluation and observability that benchmarks, tests, monitors, and traces LLM applications to prevent regressions and optimize performance.

Galileo

1mo

LLM Evaluations

End-to-end platform for generative AI evaluation, observability, and real-time protection that helps teams test, monitor, and guard production AI applications.

Patronus AI

1mo

LLM Evaluations

Automated evaluation and monitoring platform that scores, detects failures, and optimizes LLMs and AI agents using evaluation models, experiments, traces, and an API/SDK ecosystem.

Mastra

2mo

Agent Frameworks

A TypeScript-first AI agent framework and cloud platform for building, orchestrating, and observing production AI agents and workflows.

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