DeepSeek's R1 model release and OpenAI's new Deep Research product will push companies to use techniques like distillation, supervised fine-tuning (SFT), reinforcement learning (RL), and ...

Learn how to fine-tune DeepSeek R1 for reasoning tasks using LoRA, Hugging Face, and PyTorch. This guide by DataCamp takes ...

Sam Altman claims Deep Research “could do a single-digit percentage of all economically valuable tasks in the world.” ...

Learn how DeepSeek R1 was created and uses Chain of Thought reasoning, reinforcement learning, to solve complex problems.

Unlike most advancements in generative AI, the release of DeepSeek-R1 carries real implications and intriguing opportunities ...

DeepSeek-R1’s Monday release has sent shockwaves through the AI community, disrupting assumptions about what’s required to ...

DeepSeek-R1 charts a new path for AI through explaining its own reasoning process. Why does this matter and how will it ...

The Chinese firm has pulled back the curtain to expose how the top labs may be building their next-generation models. Now ...

A team of researchers at Stanford and the University of Washington have developed an AI reasoning model, s1, for less than ...

Innovations made by China’s DeepSeek could soon lead to the creation of AI agents that have strong reasoning skills but are ...

As CoT-enabled models like DeepSeek-R1 gain traction, their vulnerability to fine-tuning attacks poses a significant threat ...

The DeepSeek R1 developers relied mostly on Reinforcement Learning (RL) to improve the AI’s reasoning abilities. This ...