Results for “context engineering”

…streaming thinking 128k OUTPUT token capability (in beta) context window and prompt caching skips previous turn thinking blocks) tool use agreeing with Grok 3 that parallel test time compute is useful and worth studying {% if medium ==…

…with friends at Amplify to launch the first State of AI Engineering survey! Please fill it out (and tell your friends)! If AI is so important, why is its software so bad? This was the motivating question for Chris Lattner as he reconnected …

…needed for an LLM to produce grammatically correct and contextually relevant responses, suggesting potential parameter ranges from 50M down to 100K parameters. RAG and masking approaches could enable training smaller models focused on…

…Engine, SmithDB, Sandboxes, Managed Deep Agents, LLM Gateway, Context Hub, and Deep Agents 0.6. The most technically notable piece is SmithDB, a purpose-built observability database for nested, long-running traces with large payloads,…

…various Microsoft products. AI Research and Techniques Long Context Models: A paper on "Training-Free Long-Context Scaling of Large Language Models" introduced Dual Chunk Attention (DCA), enabling Llama2 70B to support context windows of…

…shift from VRAM and interconnect to power, heat, stability, context prefill, and multi-node vLLM/SGLang deployment rather than a single-GPU setup. Top comments focus less on the engineering and more on skepticism/amazement at the cost,…

…model, which ranks #1 on the MMTEB leaderboard with an 8k context window and is designed for finance, science, legal, search, and code applications. They also detailed how the Gemini 2.0 Code Executor works, including its auto-fix attempts,…

…About a year ago there was a lot of buzz around prompt engineering techniques to force structured output. Our friend Simon Willison tweeted a bunch of tips and tricks, but the most iconic one is Riley Goodside making it a matter of life or …

…image and video captioning, which integrates full-image/video context with fine-grained local details. It is now live on Hugging Face, linked by @_akhaliq. DAM takes user-specified regions as input and generates detailed localized…

…to learn as much about the nitty gritty details of software engineering, open source, data collection, hardware constraints, model/training results and hyperparameters, any counterintuitive technical problems and dead-ends you ran…

…systems rather than single-agent implementations in project contexts to reduce hallucinations and manage context. Participants noted that these systems might yield more accurate responses from LLMs. Curiosity Around NotebookLM's…

…math to do your taxes and beat Minerva!) able to use 8x more context than ChatGPT (50 pages, 25k words of context means unlocks better AI-enabled coding4 by simply pasting docs, or better chat by pasting entire Wikipedia articles, or even…