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AI/ML Engineering & LLMOps
Training/inference, vector search, RAG, evaluation, safety, and production ML/LLM stacks.
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Latest in AI/ML Engineering & LLMOps
GLM-5.3-Flash Explained: The 320B Open-Weight Model With an 18B Brain and a 1M-Token Memory (2026)
49+ min ago (651+ words) At a glance — Last verified: 2026-09-03 In one sentence: it is a 320-billion-parameter open-weight Mixture-of-Experts model from Z.ai that uses only 18 billion active parameters per token, reads text, images, video, and files natively, and holds a one-million-token conversation in a…...
When AI Agents Hammer tools/list: Building a Caching-Aware MCP Server (SEP-2549)
1+ hour, 4+ min ago (555+ words) Part 2 of 2. Part 1 covered statelessness; here I tackle caching. This isn't hypothetical. When I pointed GitHub Copilot CLI at my server, it fired nine tools/list calls in ~40 seconds in one short session — plus repeated re-initializes. That's the storm SEP…...
Making Chroma Work in Chinese
1+ hour, 29+ min ago (1282+ words) Note: This tutorial picks up where Chroma's official quick start guide leaves off. So you've finished Chroma's quick start — congratulations. Everything works, right up until you feed Chroma some Chinese text. Chroma's default embedding model, all-MiniLM-L6-v2, is English-only. Given Chinese…...
A Determinism Check Has to Leave the Process
1+ hour, 34+ min ago (1536+ words) Code: Megapixel99/nondet The obvious way to check whether a Python function is deterministic is to call it twice and compare. I wrote that check, and it is blind to the commonest source of nondeterminism in the language. String hashing is…...
A New Model Dropped. Don't Just Swap the ID.
1+ hour, 46+ min ago (845+ words) The new model is out. The benchmarks look great. Your provider has already scheduled the sunset date for the one you are running. So you swap the model ID, run a few requests, see nothing obviously broken, and ship. I…...
Jev vs a 310M encoder I trained myself: 750 rows, three tasks, two different winners
2+ hour, 6+ min ago (960+ words) One-line summary: A decision API wins when you have no labels; a small trained encoder wins when you have a few hundred — and which one wins on a given task is decided by the shape of the task, not by…...
We Label Every Security Claim on Our Site: Implemented, Experimental, or Not Claimed
2+ hour, 5+ min ago (497+ words) Somewhere in the last decade, "end-to-end encrypted" stopped meaning anything. So we did something that felt commercially reckless: we labelled every single claim on the site as one of three things. Implemented — it's in the current build, testable by anyone…...
One Predicate, Two Meanings, Three Bugs: Building a Contradiction Resolver with the Sanity App SDK
2+ hour, 14+ min ago (1264+ words) by shahbaz_ali. Built for the DEV × Sanity Challenge. #sanitychallenge When two of your company's... Tagged with sanitychallenge, sanity, devchallenge, ai....
Finding the right terminal in a room full of agents
3+ hour, 6+ min ago (395+ words) I don't lose terminals when they're running. I lose them when I come back. An hour ago I had five... Tagged with terminal, ai, devtools....
Who Decides the Tenant? A Small Rust Guard for AI Tool Calls
3+ hour, 5+ min ago (622+ words) I have been thinking about a fairly ordinary failure mode in AI-enabled SaaS products. A support... Tagged with rust, ai, security, showdev....