M2N2 is a model merging technique that creates powerful multi-skilled agents without the high cost and data...
large language models (LLMs)
Auto Added by WPeMatico
By using two co-evolving AI models, the R-Zero framework generates its own learning curriculum, moving beyond the...
Memp takes inspiration from human cognition to give LLM agents “procedural memory” that can adapt to new...
The open source framework provides the data and training recipe for building powerful computer-use agents that challenge...
Chain-of-Thought isn’t a plug-and-play solution. For developers, this research offers a blueprint for LLM testing and strategic...
The future will arrive with or without our guardrails. We must design AI’s structures now for a...
How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still...
CoAct-1 is an AI agent that combines GUI control with on-the-fly coding, making computer automation more robust...
The challenge is not just to build better AI tools, but to ask harder questions about where...
A new study from Anthropic introduces “persona vectors,” a technique for developers to monitor, predict and control...
