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
lingxling MCP Builder
Guides the creation of high-quality MCP servers that let LLMs interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation.
253 · bundle
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
More results
jiachen-t-wang Llava Critic Learning To Evaluate Multimodal Models Arxiv 24
LLaVA-Critic: Learning to Evaluate Multimodal Models
6
scoheart MCP Builder
Guides the creation of high-quality MCP servers, covering design, implementation, testing, and evaluation for integrating external services with LLMs.
2 · bundle
intense-visions Acceptance Eval
Acceptance Eval
18 · bundle
jiachen-t-wang Dclm Datacomp For Language Models Arxiv 2406 11794v3
DCLM: DataComp for Language Models
6
intense-visions Outcome Eval
Outcome Eval
18 · 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
ecnu-icalk MCP Builder
Guides the creation of high-quality MCP servers that let LLMs interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation.
559 · bundle