M2N2 is a model merging technique that creates powerful multi-skilled agents without the high cost and data...
large language models
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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...
Global enterprises Block and GlaxoSmithKline (GSK) are exploring AI agent proof of concepts in financial services and...
AI is brilliant at polishing and rephrasing. But like a child with glitter glue, you still need...
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...
Ultimately, model makers and enterprises are focusing on the wrong issue: They should be computing smarter, not...
How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still...
While OpenAI’s GPT-5 is highly-performant, capable and an important step forward, it features just faint glimmers of...
