Results for “llm-evaluation”
9 skills
github Eval Driven Dev
Build automated evaluation pipelines for Python LLM applications using real LLM calls and structured test datasets.
36.2k · bundle
github Phoenix Evals
Build and run evaluators for AI/LLM applications using Phoenix, covering error analysis, custom evaluators, experiments, and production monitoring.
36.2k · bundle
nvidia Nemo Evaluator Plugin
Run evaluation tasks against a NeMo Platform server using the Evaluator plugin CLI and Python SDK.
2.2k · bundle
github Arize Experiment
Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance using the ax CLI.
36.2k · bundle
More results
github Arize Prompt Optimization
Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations from Arize AI.
36.2k · bundle
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
github Arize Annotation
Creates and manages annotation configs and annotation queues on Arize, and applies human annotations to project spans via the Python SDK.
36.2k · 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