In a new paper, researchers from Tencent AI Lab Seattle and the University of Maryland, College Park, present a reinforcement learning technique that enables large language models (LLMs) to utilize ...
When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and complex and opaque model workflows; or, they don’t know when enough training ...
OpenAI and Anthropic released new flagship AI models within hours of each other on Thursday, with benchmark results ...
Morning Overview on MSN
OpenAI unveils GPT-5.3-Codex, its first AI model trained by its own AI
OpenAI has introduced GPT-5.3-Codex, a new generation of its Codex coding system that did more than write software for others ...
A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.
A survey by Activate Signal reveals a majority of Indian startups (3 out of 4) use APIs and do not train their own AI models.
What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...
New performance gains will not come from bigger models, but from better approaches. That shift should matter to every ...
As AI demand shifts from training to inference, decentralized networks emerge as a complementary layer for idle consumer hardware.
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