Results for “context engineering”

…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…

…on cloud infrastructure at Workday after studying Computer Engineering at UC Santa Barbara. He subsequently founded Paneau with Alec Fong; the company joined Y Combinator’s Winter 2020 batch and placed advertising tablets inside Uber and…

…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…

…AI-relevant work includes explaining editable language-model contexts, opening the editor to third-party agents, and developing collaboration around conversations with agents. His public argument is that easier code production should raise …

…Software at Vercel, where he works with the CTO across internal engineering, product experimentation and emerging technologies. He has built libraries for MCP, created skills.sh and led the development of eve, Vercel’s framework for…

…followed by the output. The returned information then becomes context for subsequent text. Training-data generation follows three stages: 1. Propose calls. Instructions and examples prompt the model to insert calls that could help complete …

…transparency, profitability, and service investments. Prompt Engineering for Image Creation: Conversation in #prompt-engineering around guiding AI's visual outputs and controlling what appears in generated images. User @eskcanta shared…

…2025 conference talk, Abraham explained CloudChef’s collective engineering approach: fine-tune robot foundation models for actions such as picking and stirring, use teleoperation for edge cases, and represent recipes as state machines…

…Among the notable choices - hybrid archs enabling long (1m) context: Hybrid State Space Model + Transformer Architecture Multi environment RL (Nemo-Gym and Nemo-RL open sourced) Per the Nano 3 tech report, they will be releasing all their…

…and credited Patrick Steyn for event organization. 2025–2026: Context engineering at Contextual AI Before joining MongoDB, Lopatina worked at Contextual AI. In a December 2025 Latent Space interview with swyx, she discussed context…

…skills across AI, imaging, sensors, visualization, and systems engineering. Holz has prior hardware experience from Leap Motion. Why not launch as pure medical device immediately? FDA/regulatory path is complex. Some use cases are easier…

…at OpenAI, with Google Gemini co-leadership and Google VP Engineering among his previous roles. His earlier work at Google provides context for these contributions: before developing neural architectures, Shazeer worked on language modeling…