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Prompting, Guardrails & Eval
Prompt tools, safety filters, red-teaming, evals, and regression benchmarks.
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Latest in Prompting, Guardrails & Eval
Chunking Strategies for Structured Data in RAG Systems (Part 2): Where Text-to-SQL Falls Short | HackerNoon
5+ hour, 9+ min ago (983+ words) This is Part 2 of a three-part series. Part 1 covered how to chunk structured data so a retriever can find it. This article covers the first query pattern, i.e., RAG-based Text-to-SQL. We discuss what works, what doesn't, and where it hits its…...
Observabilidade - o que é, métricas vs logs vs traces e a stack Prometheus + Loki + Grafana
3+ hour, 19+ min ago (313+ words) Por muito tempo, "monitorar" um sistema significava basicamente uma coisa: configurar alguns alertas (CPU alta, disco cheio, processo caiu) e torcer para que eles cubram os problemas que realmente vão acontecer. Isso funciona enquanto o sistema é simples e as…...
178 reports in one afternoon: what a publish burst does to an LLM pipeline
8+ hour, 35+ min ago (314+ words) On a Thursday afternoon a traveller published 178 trip reports at once. Two years on the road, Canada... Tagged with ai, llm, webdev, buildinpublic....
Incident Context: tracing production failures without guessing
13+ hour, 38+ min ago (200+ words) This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content.... Tagged with devchallenge, sanitychallenge, sanity, ai....
CitrusFi: A subscription audit that actually understands billing cycles
14+ hour, 8+ min ago (23+ words) CitrusFi is a small subscription tracking app that answers a question most trackers get wrong: "how... Tagged with devchallenge, sanitychallenge, sanity, ai....
Your AI agent failed. The model might not be the problem.
16+ hour, 32+ min ago (477+ words) Nvidia explains why debugging AI agents means tracing decisions, not just logging errors — and backs a shared failure-reporting system called SAFE....
Unraveling the Complexity of AI Agents with MLflow: How LLM Workflow Observability Transforms Debugging, Evaluation, and Operations｜tam2
3+ day, 12+ hour ago (124+ words) This video, published by IBM Technology, focuses on the challenges of observability in multi-agent LLM (Large Language Model) applications. It explains how MLflow identifies and resolves AI-specific issues that are often overlooked by traditional monitoring. It suggests that this improves…...
What Retrieval Still Hasn't Decided
19+ hour, 3+ min ago (1785+ words) Started building a reranker CLI on top of Jev for the obvious reason: get the relevant documents to the top. Ended up with three modes in jev-reranker, and one I decided not to ship. The split appeared while I was…...
Build a Read-Only Eval Slice Before Giving Free Inference Write Authority
20+ hour ago (594+ words) So I refuse to give a completion write authority until a read-only eval slice can fail in public. The slice uses the same provider protocol the production route will use, minus the database mutation. Think of it like a dress…...
We spent the first twenty three minutes of an outage reading staging's graphs
21+ hour ago (792+ words) Checkout was returning errors for about one request in three and the dashboard in front of four engineers was entirely healthy. Request rate normal, error rate flat, latency at a hundred and eighty milliseconds. Everything on the screen was accurate,…...