Results for “llm-evaluation”
11 skills
github Eval Driven Dev
Build automated evaluation pipelines for Python LLM applications using real LLM calls and structured test datasets.
36.2k · bundle
alirezarezvani Eval
Evaluate and rank agent results by metric or LLM judge for an AgentHub session.
20.4k
antigravity Evaluation
Build evaluation frameworks for agent systems, covering rubric design, test set creation, and automated evaluation pipelines.
42.4k
lucaspmarie-a11y Langfuse
Instruments LLM applications with Langfuse for tracing, observability, and evaluation, covering setup, OpenAI and LangChain integrations, and best practices.
5
jorcan Langfuse
Instrument LLM applications with Langfuse for tracing, prompt management, evaluation, and cost tracking, including integrations with OpenAI, LangChain, and LlamaIndex.
0 · bundle
More results
muratcankoylan Evaluation
Build evaluation frameworks for agent systems with deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, and outcome measurement.
16.9k · bundle
github Arize Experiment
Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance using the ax CLI.
36.2k · bundle
nimoqup046-collab Langfuse
Instrument LLM applications with Langfuse to trace, score, and monitor cost, quality, and latency across OpenAI and LangChain integrations.
2
github Agentic Eval
Implement iterative evaluation and refinement loops for AI agent outputs, using self-critique, evaluator-optimizer patterns, and rubric-based scoring to improve quality.
36.2k
microsoft MCP Builder
Guides the creation of high-quality MCP servers that enable LLMs to interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation across multiple programming languages.
2.7k · bundle
anthropic MCP Builder
Guides the creation of high-quality MCP servers that enable LLMs to interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation.
158k · bundle