Advancing the science of artificial intelligence. Our work is open and peer-reviewed.
We introduce the Jarvis architecture — a novel approach to building ambient AI agents that operate directly on local filesystems with full context awareness and multi-step planning capabilities.
A comprehensive overview of PiyRox-4, our latest frontier language model. We detail the training methodology, safety evaluations, and benchmark results across coding, reasoning, and creative tasks.
We present a new paradigm for AI-assisted software development where the agent has full codebase context, can plan architectural changes, and executes multi-file edits with rollback capabilities.
Our research on extending effective context windows to 200k tokens while maintaining inference efficiency. We introduce sparse attention patterns that reduce quadratic complexity without quality loss.