“LLM evaluation”

End-to-end LLM accuracy evaluation on AMD ROCm (ROCm-only) — container setup, vLLM/SGLang/ATOM serving, lm-eval / lighteval / evalscope benchmarks.

End-to-end LLM accuracy evaluation on AMD ROCm (ROCm-only) — container setup, vLLM/SGLang/ATOM serving, lm-eval / lighteval / evalscope benchmarks.

Attach judges to config variations for automatic LLM-as-a-judge evaluation.

Use Langfuse for LLM observability and evaluation and look up Langfuse documentation.

Use after completing any non-trivial task.

Use after completing any non-trivial task

Score prompts for prompt injection with TypeSafe's Jev before they reach an LLM: a reference gate function a backend can call (allow / review / block with a…

Audits any landing or service page across 48 checks in 10 categories for LLM/AI discoverability, GEO readiness, content clarity, schema markup, internal…

Use when the user wants to test, compare, or choose local Ollama models for their machine.

Bulk-evaluate a folder of resumes against one job description and flag the ones whose wording mirrors the posting closely enough that a human should look…