Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs
Summary
The article proposes multi-stream LLMs that run parallel streams for thoughts, inputs, and outputs to unblock language models from sequential prompting. It claims improvements in efficiency, security through better separation of concerns, and enhanced monitorability, with code available on GitHub and an arXiv abstract for reading.