Tag

#evaluation

Articles tagged "evaluation" — 3 entries.

Article №28 observability NIM ~3 hours — 30 min plumbing, ~20 min for the runs themselves, the rest is reading what they show
Frontier Scout

AutoResearchBench on Spark — Two NIMs, One Bench, Two Failure Modes

Two Spark-tuned NIMs run AutoResearchBench's three Deep-Research example questions. Llama-3.1-8B crashes by turn 5-6 on its 8K context; Nemotron-Nano-9B-v2 finishes cleanly at 128K. Both score 0% Accuracy@1 — for completely different reasons.

uses fieldkit.nimfieldkit.evalfieldkit.capabilities

Article №26 observability NIM Llama 3.1 8B ~2 hours wall — analysis runs in seconds, the rest is reading + writing
Machine that Builds Machines

Was the Agent Researching, or Flailing? An Observability Pass on the Trajectory

A8 said the LoRA mode-collapsed because the trajectory was thin. This puts numbers on it: 6 of 13 knobs ever touched, 72% of proposals repeated a prior pair, and the proposer's k=5 history window is the structural cause.
Article №15 observability NeMo Evaluator ~60 minutes end-to-end — 40 s to ingest the blog into pgvector, 2 min for retrieval, 4 min for generation across three 8B variants, 90 s for the LoRA variant, 9 min for grading
Second Brain

Ragas, Reranked — What 44 Held-Out Questions Say About the Second Brain Stack

A Ragas-style harness written in 200 lines of stdlib Python, run locally on the DGX Spark, against four variants of the Second Brain RAG chain. Naive RAG scores 3.30 / 5. Rerank RAG scores 4.27. LoRA+RAG is a surprise — it does not beat naive. Retrieval is where the points come from.

uses fieldkit.eval