Sicong Xie

We built Accio Work to be a digital companion. It’s a local-first agent that you "cultivate." It indexes your scattered files and learns your unique workflow rhythm. The more you use it, the more intuitive it becomes. From files to execution, all in one place.

Introducing RL2: Ray-Less Reinforcement Learning for LLMs 🚀 Want to run RL experiments but tired of complicated abstractions? We've got you covered with <1K lines PPO/REINFORCE implementation: 🎯 Ray Less = Launch RL exps with torchrun just like SFT ⚡ Long-context parallelism supported with ZigZag Ring Attention, scales to 32B models effortlessly 🔄 Multi-turn RL that works for Tool-use/long horizon tasks No more wrestling with heavy frameworks - just clean, hackable RL that gets the job done.

We're rolling out new features and improvements that developers have been asking for: 1. Our new model GPT-4 Turbo supports 128K context and has fresher knowledge than GPT-4. Its input and output tokens are respectively 3× and 2× less expensive than GPT-4. It’s available now to all developers in preview. 2. Assistants API and new tools (Retrieval, Code Interpreter) will help developers build world-class AI assistants within their own apps. 3. The platform is becoming multimodal. GPT-4 Turbo with Vision, DALL·E 3, and text-to-speech are all now available to developers. Oh… and we’re doubling GPT-4 rate limits. openai.com/blog/new-model…

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