Huawei sent a team of engineers to DeepSeek’s office to help the company use its AI chip to develop the R2 model, according ...

How a big shift in training LLMs led to a capability explosion Reinforcement learning, explained with a minimum of math and jargon.

“There has been this long-hypothesized failure mode, which is that you'll run your training process, and all the outputs will look good to you, but the model is plotting against you,” says ...

Secure your spot now - space is limited: https://bit.ly/3GuuPLF Reinforcement learning is part of the training process that often happens after deployment when the model is working.

The focus of Ai2’s Tulu initiative is post-training — the process of refining a language model after the initial training process to enhance its capabilities and make it suitable for specific ...

RIT’s Counseling and Psychological Services has served as a training site for doctoral and Master’s students in the fields of mental health counseling, psychology, and social work for many years. The ...

Underspecification means something different: even if a training process can produce a good model, it could still spit out a bad one because it won’t know the difference. Neither would we.