Results for “context engineering”

…reads had a 75% price cut… great news for long sessions/long context users, however offset by observed 1.7x output token usage increases per Artificial Analysis, for a total net per-task cost increase of 20% (see recap below). Also don’t…

…and believed that required being close to the relevant data and context. Financial services, he said, was sufficiently closed to outside access that meaningful innovation required working inside the industry. In his June 2024 interview, he …

…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. Cohere Command R+ Release New open-source model: @cohere released Command R+, a 104B parameter model with 128k context length, open weights for…

…identify Zhao Pengyu with language-model research and engineering and Zhou Yucong with visual-model research and engineering. On January 14, 2025, MiniMax and an alphabetically listed team of 89 co-authors published MiniMax-01: Scaling…

…performance using deep neural memory, scaling to contexts larger than 2M tokens. Early results were presented at NeurIPS; background/history on the Titan memory line was also posted by the authors @GoogleResearch, @mirrokni. Coding Models…

…Its work spans language models, speech generation, formal proof engineering and infrastructure for training and serving models. Downloadable weights, commercial APIs and enterprise tools give organizations several ways to adapt and operate …

…added with constructive comments about AI reasoning, prompt engineering, and output length limitation of GPT models. Predominantly inquiries and clarifications about improving Custom GPT's performance, overcoming Recaptcha glitches.…

…2021 essay, “Software infrastructure 2.0: a wishlist”, supplies context for that focus. It advocated pooled serverless resources, temporary production-like environments for testing, fast infrastructure changes and client libraries instead…

…systems, and infra (AIE NYC and beyond) “War on Slop” and context engineering: AIE NYC talks emphasized raising quality bars (taste, validation, “no autonomy without accountability”) and treating context as a first‑class engineering…

…a model compiler, runtime and serving framework. Its central engineering decision is to connect custom computation with the execution engine: operations written in Mojo can participate in compiler analysis and graph fusion rather than…

…alone - essentially presaging what would now be called harness engineering. But we almost completely missed the importance of the recursive nature of agentic coding improving agent/LLM training, which has been called out all over from…

…data from architectural or other model improvements. Long context—the material available to a model while answering—makes this distinction tangible. Finding one isolated fact in a large input, the single-needle-in-a-haystack task, is…