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I pay an LLM to approve bad reviews
16+ hour, 46+ min ago (783+ words) Every trip report on my travel site goes through an LLM before readers see it. The most important line in that prompt is not about catching bad content. It is this one, verbatim: "Bad reviews" as in negative. The trip…...
Embedding Model Comparison 2026: You Are Optimizing the Wrong Line Item
13+ hour, 41+ min ago (1003+ words) OpenAI, Cohere and local models for production RAG, and why the switching cost decides more than the price per token. I want to make an argument that will sound wrong at first and I think holds up. For most production…...
Your eval set is probably in your training set — here's how to check in ten minutes
20+ hour, 3+ min ago (688+ words) You fine-tune a model, run your benchmark, and the score jumps six points. Before you write that up, there's one question worth ten minutes: how many of those benchmark examples were in the training data? If the answer is "some…...
Five Failure Modes Evals Won't Catch And What To Do About Them
23+ hour, 22+ min ago (1076+ words) Evals are a critical part of every data and AI team’s agent development process. An engineer builds an eval, defines what a bad answer looks like, runs a judge against a test set, and ships when the score looks good....
Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints
2+ day, 4+ hour ago (402+ words) LLM judging frameworks depend on the assumption that rerunning byte-for-byte the same agent output, through the same endpoint, yields the same judgment. In reality, this fails. Zero-temperature only partly reduces the noise. API providers update models silently and without versioning,…...
HNSW ef_search: Why Your Vector Search Misses the Right Chunk
3+ day, 22+ hour ago (889+ words) The chunk was in the index. I checked three times. A support bot kept answering "that isn't covered in the documentation" for a question that was covered, in one paragraph, in a doc we had ingested two weeks earlier. I…...
Agentic RAG: Build Retrieval Loops That Decide
4+ day, 22+ hour ago (1661+ words) Build an agentic RAG loop that decides when to retrieve, which tools to use, whether evidence is sufficient, and when to stop. Includes Python checks. This guide shows how to design the decision loop itself. It covers when agentic retrieval…...
An LLM judge cannot be a build gate, and it is not about the cost
4+ day, 21+ hour ago (706+ words) Almost every RAG evaluation metric on offer needs a language model to produce it. Faithfulness, answer relevance, context precision: a model reads the answer and scores it. Those are good metrics. They measure things that are hard to measure otherwise,…...
When Passing an LLM Pentest Is the Problem - Digital Transformation Blogs - Bigdata, IoT, M2M, Mobility, Cloud
5+ day, 3+ hour ago (812+ words) A clean penetration test on a GenAI application often answers the wrong question, and no report will tell you that. The security testing wrapped around it, in most organisations, has not changed at all. The same scope template goes out....
Designing an LLM Leaderboard That Can Survive Change
5+ day, 7+ hour ago (125+ words) An interface-level design memo for separating capability, price, runtime, benchmark evidence, and model metadata in an LLM comparison product. Tagged with webdev, ux, productdesign, ai....