“We’re introducing an updated [chain of thought] for o3-mini designed to make it easier for people to understand how the ...
Stanford and University of Washington researchers devised a technique to create a new AI model dubbed "s1." They have already open-sourced it on GitHub, along with ...
It's cheap to copy already built models from their outputs, but likely still expensive to train new models that push the ...
Researchers developed the S1 reasoning AI using less than $50 in compute cost to achieve a reasoning model as powerful as ...
The starting point of the project was Qwen2.5-32B-Instruct, an open-source LLM released by Alibaba Group Holding Ltd. last year. The researchers created s1-32B by customizing Qwen2.5-32B-Instruct ...
Researchers managed to create a low-cost AI reasoning model rivaling OpenAI’s in just 26 minutes, as outlined in a paper ...
The floodgates have opened for building AI reasoning models on the cheap. Researchers at Stanford and the University of ...
AI researchers at Stanford and the University of Washington have allegedly pulled off what no one thought possible—they built an AI model called s1 for under ...
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 ...
Palantir’s dominance in AI applications positions it for growth in the AI-driven future. Read why PLTR stock is a strong bet ...
The S1-32B AI model, developed by the researchers, is said to closely match the performance of OpenAI’s o1 model.
Researchers from Stanford and Washington developed an AI model for $50, rivaling top models like OpenAI's o1 and DeepSeek.