New Open Source AI Model Rivals DeepSeek's Performance—With Far Less Training Data

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Decrypt 1w ago

New Open Source AI Model Rivals DeepSeek's Performance—With Far Less Training Data - Decrypt

Quick Summary:

The OpenThoughts-114k dataset came packed with detailed metadata for each problem: ground truth solutions, test cases for code problems, starter code where needed, and domain-specific information.

What set this achievement apart was its efficiency: OpenThinker required only 114,000 training examples to reach these results, while DeepSeek used 800,000.

The Open Thoughts team pulled together researchers from different American universities, including Stanford, Berkeley, and UCLA, alongside Germany’s Juelich Supercomputing Center.