Results for “context engineering”

…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…

…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…

…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,…

…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…

…best AI Engineer talks for AI Architects, /r/localLlama, Model Context Protocol (MCP), GraphRAG, AI in Action, Evals, Agent Reliability, Reasoning and RL, Retrieval/Search/RecSys , Security, Infrastructure, Generative Media, AI Design &…

…“validated patches”. What does “validated” mean in this context? Are you running automated tests, static analysis, or something more sophisticated? AI Investigations: Vercel Agent automatically opens AI investigations when it detects…

…is just a hint at what the real problem may be. tweet For context, older frontier-scale training runs were already much higher than 10%. GPT-3 was around 21% MFU. Gopher was around 32%. Megatron-Turing NLG was around 30%. PaLM reached…

…our newest cohost from the Forward Deployed side of the AI Engineering world! We’ll be ramping up a new show with him and couldn’t pass up an interview with Modal’s CEO Eric on the occasion of their monster Series D!Two years ago, we spoke …

…Google’s AI teams, and why the next leap won’t come from bigger context windows alone, but from systems that give the illusion of attending to trillions of tokens. We discuss: • Jeff’s early neural net thesis in 1990: parallel training…

…the NYC AI Engineer Summit focusing on AI Leadership and Agent Engineering! If you applied, invites should be rolling out shortly. The search landscape is experiencing a fundamental shift. Google built a >$2T company with the “10 blue…

…AI research could reduce years of work to weeksReward engineering and what makes auto-research systems actually work The AI Economist and using simulations to test economic policy Whether LLMs can realistically simulate people and entire…