Results for “context engineering”

…competitive advantage, and LangChain introduced the concept of Context Engineering for AI agents. Reinforcement learning on LLMs shows transformative potential, and the community values AI evals and data work. Sakana AI released…

…and the design of agent tools Anthropic open-sourced the Model Context Protocol (MCP) on November 25, 2024. Created at Anthropic by David Soria Parra and Justin Spahr-Summers, MCP standardizes connections between AI applications and…

…Nemotron 3 Super: open 120B/12B-active hybrid model with 1M context and day-0 ecosystem support (@ctnzr). Claude Code outage as infra risk: frontier-model auth failure visibly disrupting real engineering workflows (@karpathy, @Yuchenj_UW). …

…her career, Barth worked in technical evangelism and solutions engineering at Cisco and MapR, focusing on data center technologies, big data, and AI applications. Those roles provide technical context for her subsequent cloud AI education. …

…to a reference in channel <#1107255707314704505> for additional context. Prompt Engineering as a Term and Job: @iiimandalorianiii finds it amusing that the term "prompt engineering" is being used like it's an established job, considering…

…histories averaging about 113,000 tokens. They argued for context engineering—careful construction and management of the information supplied to a model. The study did not exhaust real-world use cases or explain the mechanism behind the…

…(Python/TS) cover agents, memory, tools, middleware, and context engineering patterns. Announcements and guides: @LangChainAI, @bromann, @sydneyrunkle, @hwchase17, @hwchase17, @_philschmid. Hugging Face Hub v1.0 and streaming backend: Major…

…its early Assistant Panel and, with Nathan Sobo, explaining the engineering decisions behind Zeta, Zed’s open edit-prediction model. His earlier work includes Atom, Teletype’s collaborative editing architecture, and distributed database…

…and Identity11:28 Why Coding Agents Took Off First21:42 Context Engineering and Search Limits31:29 Inside Agent Evals33:23 Industries and Datasets35:22 Building the Agent Team38:50 Read Write Agent Workflows41:54 Docs Graphs and Founder…

…described developing the interface, prompt construction, context retrieval and model behavior together, often with the same people working across those layers. Custom models, context and responsive editing The team's early internal…

…model supporting text, code, image, and video with a 64k token context window and Apache-2.0 license. OpenAI's o1-preview and o1-mini models show strong performance on long context retrieval-augmented generation benchmarks up to 128k…

…work and education Srinivasan’s earlier work provides context for her biomedical research. In her personal biography, she reports developing machine-learning algorithms for early cancer detection using glycoproteomics data at Intervenn, a…