Results for “context engineering”

…to their Chinese origin, particularly in defense contracting contexts. Meta released quantized Llama models (Score: 184, Comments: 25): Meta released quantized Llama models using Quantization-Aware Training, LoRA, and SpinQuant techniques, …

…nature of data work—asset discovery, conflicting business context, and missing deterministic tests—using specialized knowledge search, parallel thinking, and multi-LLM designs. Reported accuracy improved from 32% to 90%+, with @Yuchenj_UW…

…coherent outputs exceeding 20,000 words. RAG vs. Long Context: @algo_diver summarized a research paper comparing Retrieval Augmented Generation (RAG) to Long Context (LC) approaches, finding that LC consistently outperforms RAG but at…

…us reach 1000 people for the first comprehensive State of AI Engineering survey and 3) submit projects for the new AI Engineer Foundation. See our Community page for upcoming meetups in SF, Paris, NYC, and Singapore. This episode had good…

…potential for open-source development and collaboration in AI engineering. Aider v0.74.0 Patches Bugs & Boosts Docker: Aider v0.74.0 introduces dynamic changes to the Ollama context window and better support for models like o3-mini and…

…between public reusable workflows and private user-specific context Real use cases already happening today: uploading videos, organizing files, handling taxes, managing calendars, debugging internal crashes, analyzing finances, and…

…serving costs for long-running agent workloads. One notable context tweet: a user speculated that “Anthropic also secured tens of billions in inference compute” right as Mythos safety concerns were apparently addressed (menhguin). That is…

…So I just went out there and did it. And same thing with AI engineering, right? You just kind of build stuff. You work on interesting, interesting things and like now it's more accessible than ever. Like back when I got into the field five,…

…thing is instruction following ability, specifically in agentic contexts, will increase. And what that means is we'll have to do less manual engineering of agentic workflows and be able to do more by just prompting agents in more complex…

…building with Generative AI for everything from sales, support, engineering, data, and more: Many of these B2B startups will be seeking to establish an AI foothold in the enterprise. As they look to recent success, they will find Glean,…

…image models, considered underrated Image Editing ModelsFlux Context (Dev) Released late May Popular editing model Qwen Image/Qwen Imager Released two weeks before the podcast Now topping Flux Context Dev Very good text-to-image when using …

…on TVM. There is really too little about machine learning engineering needed to support deep learning models on the platforms that we're interested in. I think it started a bit earlier than ONNX, but once it got announced, I think it's in a…