Results for “context engineering”

…ongoing discussions or troubleshooting within deployment contexts. While minimal in detail, it spotlights the areas within AI engineering that require attention. Perplexity AI Discord Summary Mistral Medium's API Access Sparks Interest:…

…and discussion about “LLM OS” trajectories (announcement, context). OpenAI in health: OpenAI introduces ChatGPT Health (a dedicated space with separated memories) and announces acquisition of Torch (ChatGPT Health, acquisition). DeepSeek…

…The model card demonstrates the Opus-level context utilization now extending to Sonnet: We don't have a ton of technical detail on what drives the changes, but Anthropic is selling this as a Pareto improvement over 3 Sonnet and 3 Opus:…

…learning with LangGraph (@LangChainAI). The Rise of "Context Engineering": @omarsar0 is creating a detailed guide on Context Engineering, which he frames as the evolution of prompt engineering. The concept is also highlighted by @dl_weekly …

…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…

…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…

…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…

…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.…

…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…

…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…

…no description foundPrompting | How-to guides: Prompt engineering is a technique used in natural language processing (NLP) to improve the performance of the language model by providing them with more context and information about the task…

…a “cognitive core” and explores non‑log‑scale scaling plots (context, discussion). Curriculum, RLVR scaling, and eval hardening: Proposals to let models dynamically discover what data to see and when (@joemelko); questions on whether…