How to build custom reasoning agents with a fraction of the compute

The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the reliable ...
Semiconductor Engineering

DeepSeek: Improving Language Model Reasoning Capabilities Using Pure Reinforcement Learning

“We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT ...
VentureBeat

New reinforcement learning method uses human cues to correct its mistakes

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Scientists at the University of California ...
Computer Weekly

Latest Alibaba AI model demos AI improvements

Just two months after the tech world was upended by the DeepSeek-R1 AI model, Alibaba Cloud has introduced QwQ-32B, an open source large language model (LLM). The Chinese cloud giant describes the new ...
Android Police

Reinforcement learning from human feedback: What you need to know

Ryan Clancy is an engineering and tech (mainly, but not limited to those fields!!) freelance writer and blogger, with 5+ years of mechanical engineering experience and 10+ years of writing experience.
MIT Technology Review

How DeepSeek ripped up the AI playbook—and why everyone’s going to follow its lead

The Chinese firm has pulled back the curtain to expose how the top labs may be building their next-generation models. Now things get interesting. When the Chinese firm DeepSeek dropped a large ...