Results for “context engineering”

…personalized proactive assistant, which requires "incredible context engineering around powerful models coupled with delightful user experience." Cline Coding Agent and Transparency: @cline promoted its transparent, open-source architecture…

…how even Greg Brockman is now quietly endorsing agent/harness engineering, it is refreshing for a respected thinker and neolab cofounder like Lilian to also agree that “Even when many harness improvement[s] get eventually internalized into …

…the absence of established rules due to evolving models and contexts. Channel Purpose and Engagement: Discussions hinted at the channel focusing more on conversational uses of AI rather than strictly prompt engineering, which may dilute the…

…update: MIT-licensed, MoE 355B total/32B active, now with 200K context. Independent evals report +5 pts vs 4.5 in reasoning mode (56 on AAI), better token efficiency (−14% tokens at similar quality), and broad API availability (DeepInfra…

…but definitely helpful — for sure every founder building a data/context engineering product will go to them and say they got the people who coined Context Graphs on their cap table. But the problem with the post is that it promises a whole …

…and user preference between these AI models without additional context provided. Google's TPU infrastructure is highlighted as a cost-effective option, with some users preferring a combination of different models for specific tasks, such as…

…like gpt-4o, potentially as simple as optimizer = dspy.GEPA. Context Engineering Defined in New Blogpost: Drew Breunig presented a talk on the importance of context engineering and summarized it in a blog post after an MLSys DSPy talk…

…due to context issues (he observed it hitting “0% context”). Reality check from Karpathy: @karpathy pushes back on the idea that models can already do open-ended closed-loop AI engineering reliably: they can chase spurious 1% wins with big …

…delving into AI, which could be of significant interest to engineering aficionados. The podcast episode is accessible here. BUD-E Buzz: BUD-E, an empathetic and context-aware open voice assistant developed by LAION, could signal a new…

…cost dominates. Agents, RL-for-coding, and the emerging “context engineering” discipline Self‑Play SWE‑RL: self-improving coding agents via bug injection + fixing: A highlighted direction is agents that generate their own training signal by…

…human-in-the-loop, only 0.8% appear irreversible, and software engineering is ~50% of tool calls on their API—framed as “autonomy is co-constructed by model + user + product,” motivating post-deployment monitoring (Anthropic, metrics,…

…brewing over the development of Gemini for managing ultra-long contexts and hopes for AI tools to automatically summarize new academic papers citing one's work. The conversation also covered the limitations of prompt engineering and the…