Hey devs! When you use Codex, putting too many tasks into a single conversation makes the model slow, confused, and unreliable. To solve this problem, I highly recommend using subagents (or Custom ...
Please see our updated documentation pages in docs/ for more details. Development will be continuing on the main branch, and we encourage you to give us feedback on what features are desired and how ...
AI-driven task automation is evolving rapidly and the integration of Antigravity’s mission control system with Arcade’s MCP runtime showcases a compelling leap forward. As highlighted by World of AI, ...
ManiDreams implements a planning paradigm where a virtual constraint (cage) bounds object states during action selection. At each timestep, the framework generates candidate actions, predicts outcomes ...
LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...
A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...
In February, we announced DeepSpeed, an open-source deep learning training optimization library, and ZeRO (Zero Redundancy Optimizer), a novel memory optimization technology in the library, which ...
It was an interface that launched a thousand hacks. Near trivial to program, enough I/O lines for useful work, and sufficiently fast for a multitude of applications: homebrew logic analyzers, chip ...
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