AI researchers at Stanford and the University of Washington were able to train an AI "reasoning" model for under $50 in cloud ...

A whole new range of AI-powered research and interactions that simply can't be matched by DeepSeek and OpenAI.

Announced in December, 2.0 Flash Thinking rivals OpenAI's o1 and o3-mini reasoning models in that it's capable of working ...

New Google updates aim to make AI smarter, more efficient, and capable of handling complex tasks with improved accuracy.

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

Let models explore different solutions and they will find optimal solutions to properly allocate inference budget to AI reasoning problems.

In an effort to compete with DeepSeek's models, Google is also introducing a new and more cost-efficient AI model, Gemini 2.0 ...

DeepSeek's hallucinates 14.3% of responses, more than three times that of comparable reasoning and open-source models, ...

Google also released an experimental version of Gemini 2.0 Pro, the company’s flagship model with the best performance for ...

Google just dropped 4 new Gemini 2.0-series models, with some designed for coding performance and complex prompts and the ...

Google has listed a number of new models, including Gemini 2.0 Flash Thinking and Gemini 2.0 Pro Experimental.

Until a few weeks ago, few people in the Western world had heard of a small Chinese artificial intelligence (AI) company ...