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 ...

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 ...

Researchers at Stanford and the University of Washington have developed a model that performs comparably to OpenAI o1 and ...

For those seeking a cost-effective solution without compromising quality, Google unveiled Gemini 2.0 Flash-Lite in public ...

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 ...

Following the web, the Gemini app on Android and iOS now has access to 2.0 Flash Thinking Experimental and 2.0 Pro ...

Researchers from Stanford University and the University of Washington have unveiled an AI model trained at a cost of less than $50 in computing credits.

Google has now given its Gemini app access to a new AI model called Gemini 2.0 Flash Thinking Experimental.

Google releases Gemini 2.0, featuring unprecedented 2-million token context window and advanced reasoning capabilities, ...

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 ...