Choosing a Chunking Strategy for Your LLM Apps: A Decision-Tree Approach
In this article, you will learn how to choose the right chunking strategy for a retrieval-augmented generation system by working through a structured decision tree...
Curated signals for developers. Updated hourly.
In this article, you will learn how to choose the right chunking strategy for a retrieval-augmented generation system by working through a structured decision tree...
Last week I wrote about how we stop an AI agent from paying twice when it retries a paid API call . It got 309 views and 73 comments from 11 people, and most of the comments found a real gap. This is the follow-up: what each gap was, what we changed,
Measuring AI model security gets complex fast - a growing patchwork of benchmarks targets different variables in the equation, but none replace testing against your own code and workflows.
The v0.2.0 field test for agentwatch ran 94 cases across 15 suites. 92 passed. 0 failed. It was the least trustworthy green I'd ever shipped. Not because anything was failing - because I couldn't say why it was passing. So I did a census. Of the 94 c
視覚皮質を再学習させるVRアーキテクチャ:AmblyoPunchの設計思想 最近、SanDiskがMetaの次世代VRグラス向けに公式の拡張ストレージを提供することが発表されました。スタンドアロン型ヘッドセットにおけるI/Oおよびストレージ容量の制限は、これまで高負荷なシミュレーションや詳細なユーザーログを伴う専門的アプリの展開において大きな壁となっていました。このハードウェア的な制約の解消は、リハビリテーションや教育といった「専門的トレーニング」のあり方を根本から変える可能性があります。 1.
Less than two weeks after its $11,000 headline, the configurable deep learning workstation has dropped every Nvidia option and the tinybox pro, added two Radeon AI Pro R9700 builds, and raised their price.
I've been building a predictive coding (PC) engine from scratch in C++20, with a thin Python layer on top, and just cut the first public release. Posting here for feedback and because I haven't seen many from-scratch PC implementations with real kern
AI is scaling faster than almost any technology before it. But behind every intelligent response lies a costly infrastructure, an uncertain business model, and a question every developer should be asking: Who can afford to build the future? Artificia
If you have written concurrent code with threads, you know the routine. Several threads touch the same data, so you put a lock around it. Then you add a second lock, take the two in the wrong order on a busy day, and two threads wait for each other f
TL;DR - Teams treat SFT, preference optimization, and distillation as swappable, independently-testable modules in a post-training pipeline. They aren't. The order you apply them changes the final model in ways that per-step evaluation never catches,
A web page can save an AGENTS.md into your Downloads folder without a single click. Your coding agent reads it as project rules. Here's what happened, what we saw in our own test, and the 2-minute check. Your Downloads folder is the only folder on yo
While everyone watched LiteLLM, a quieter campaign spent five weeks doing something worse: taking stolen GitHub tokens and committing a secret-dumping workflow into every repository they could reach - 13,500 planted branches across 850+ compromised a
This is a submission for the Hacktoberfest Open-Source AI Challenge: Slow and Steady . What I built If you develop with Flutter, you may know the frustration of spending half an hour debugging an error, fixing it, and then meeting the same problem ag
Google DeepMind released Genie 4, a world model with real-time audio, more realistic simulations, and mid-simulation text prompts, in research preview for trusted testers.
Author here. A few things I find most interesting in the code: Lighting is a BFS over a 5x5 window of chunks with positions packed into one dword (wx | wz<<7 | y<<14 | value<<21), so a neighbour step is a single add and crossing a chunk border is a p
What happens when a RAG system retrieves the right document, but that document tells the AI to ignore the user’s question? On Day 08, I explored how LLM judges can make mistakes. Today, I’m looking at another trust problem: what if the content we giv
I've used breakpoints, profilers, and all the fancy devtools. But when something breaks at 1 AM, my first move is still: console . log ( " here " ); console . log ( " here 2 " ); console . log ( " WHY IS THIS UNDEFINED " ); It's not pretty, but it wo
Omostrich keeps your Nostr key on your own computer and signs for your apps from the Omarchy bar. Two releases landed this morning. Version 0.3.2 finishes the profile picture hardening that 0.3.1 started, and version 0.3.3 makes your signing permissi
The limit lives in the tensor cores. When they multiply FP16 or BF16 numbers and add up the results in higher-precision FP32, GeForce cards issue those instructions at half the rate of the FP16-accumulate mode. That FP32 mode is the one most training
We're still a few months away from the official reveal of the Ford Fathom, the automaker's first next-generation electric vehicle. While we wait, Ford has been whetting our appetite with news about the sub-$30,000 pickup - including today's announcem
Apple is giving its entry-level MacBook Pro a spec bump. After upgrading the entry-level MacBook Pro with its M5 chip a year ago, Apple is refreshing the laptop today with the M6 chip, which the company launched in August as part of recent upgrades t
Separation of workloads before AI wasn’t easy, but it was far more straightforward. Servers sat in data centers, VLANs segregated The post When “isolated” doesn’t mean isolated: How to sandbox AI agents appeared first on The New Stack .
General Compute is betting on inference chips from outside the Nvidia ecosystem.
An examination of global Internet disruptions observed by Cloudflare Radar during the third quarter of 2026. This review analyzes how power failures, natural disasters, and government shutdowns impacted network connectivity and traffic.