Tag archive
We routed 1,000 Japanese voice-assistant utterances to 8 handlers with Jev, Qwen3.6-35B-A3B, 4B/8B local models and SemIf. Accuracy by utterance type, confidence, pricing, latency, and limits — all measured.
Introduction At its core, the nondeterministic encryption method began as a teenage...
A mechanism explainer on how the LFORLA Reverse Engineering benchmark turns raw model outputs into comparable LLM evaluation scores, with real leaderboard data and a public verbatim trail.
I vendored an audio deepfake detector into my verification platform. It loaded cleanly, every...
Learn how to evaluate chunking effectiveness in RAG pipelines using metrics, Ragas, and real-world trade-offs from production systems.
The second half of my SKILL.state replication, on the paper's own model and a second one, with every cell repeated. Explicit state holds exactly where the paper says it does. Where it breaks, it breaks by writing the state wrong — and the runtime that keeps the transcript alongside it barely notices.
A mechanism explainer on how LFORLA's PolitiScales benchmark turns 117 political statements into a 24-axis latent position for LLMs, and what the leaderboard really tells you about election forecasting readiness.
TLDR: In LangChain's survey of 1,340 practitioners, 89% had implemented observability for their...
If you can't show the before and after on the same prompts, you didn't fine-tune — you spent GPU hours. Here's how to evaluate properly.
We deployed Langfuse and Arize Phoenix locally, pushed synthetic LLM traces through their OpenTelemetry interfaces, exercised evaluation workflows, and measured the operational cost hidden behind self-hosting.
A pilot said the gating made the model MORE sycophantic (+10pp). The full run said +0.5pp of pure noise. Three independent judges then all said: not only useless, slightly harmful. A 38-hour CPU-run experiment log, with data.
Two agents scoring 40% can fail in completely different, differently-fixable ways. A practical method for evaluating agents that run for tens of steps.