This feedback enables the model to gradually learn the correct way of completing the tasks it receives. DeepSeek optimized R1 for reasoning tasks such as generating code and solving math problems.

Opinion OPINION: Our students need up-to-date approaches to math education for a quickly changing world Data science and statistical reasoning must be part of what all students learn by Pamela Burdman ...

At the WAVESUMMIT Deep Learning Developer Conference in 2025, Baidu officially announced the open-source release of its latest ERNIE-4.5-21B-A3B-Thinking model, which instantly sparked widespread ...

Dubbed LeMa (Learning from Mistakes), the approach they propose consists of using GPT-4 as a kind of "corrector" for inaccurate reasoning generated by various LLMs.

Imagine Learning is proud to announce that Imagine Learning Illustrative Mathematics, the leading problem-based core math ...

As someone who has dedicated their life to understanding, teaching, and celebrating the beauty of mathematics, my answer is ...

As a paradigmatic example, we apply a Peircean semiotic framework to answer the question of how students develop a notion of 'distribution' in a statistics course by 'diagrammatic reasoning' and by ...