APTO Releases Training Dataset to Enhance the Mathematical Reasoning Capabilities of Large Language Models (LLMs)

As generative AI use continues to increase, accuracy has become the most important metric and a key factor in decisions ...

Tencent’s new AI technique teaches language models ‘parallel thinking’

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

Tencent AI Lab Unveils Parallel-R1: Reinforcement Learning Empowers Large Models with 'Parallel Thinking'

Tencent AI Lab recently announced a significant breakthrough in the field of large models —the Parallel-R1 framework, which successfully teaches large models to perform 'parallel thinking' in general ...

Tencent AI Lab Introduces the RL Framework Parallel-R1, Teaching Large Models to Learn 'Parallel Thinking'

Experiments show that Parallel-R1 not only brings an average accuracy improvement of up to 8.4% across multiple mathematical benchmarks but also achieves a 42.9% performance leap in the AIME25 test ...
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Ether0’s Transparent Reasoning and Data-Efficient Training Set a New Standard for Chemistry AI

“I think it’s very cool what they pulled off,” said Kevin Jablonka, a digital chemist at the University of Jena, after checking out Ether0, a novel AI system that’s revolutionizing how large language ...