Agentica and Together AI are launching DeepCoder-14B-Preview, an open-source AI model that exhibits coding skills on par with proprietary models. This advancement comes after addressing crucial data challenges in the reinforcement learning space, particularly concerning high-quality coding datasets, which have been hard to come by. The teams curated a robust dataset of 24,000 verifiable coding problems, ensuring rigorous testing to prevent issues such as reward hacking. The training was conducted using advanced methods for improved performance, positioning DeepCoder-14B-Preview as a competitive player in AI coding solutions.
DeepCoder-14B-Preview, an open-source model, demonstrates coding abilities that rival proprietary counterparts, marking a significant turning point in reinforcement learning applications in coding.
Agentica and Together AI successfully tackled the challenge of accessing quality coding datasets by curating 24,000 verifiable coding problems for effective RL training.
The rigorous filtering pipeline for training data ensured that problems were reliable and comprehensive, preventing issues like 'reward hacking' and maintaining the integrity of the testing process.
Trained over 2.5 weeks using 32 H100 GPUs, DeepCoder-14B-Preview showcases innovative training techniques that enhance performance and coding capabilities compared to previous open-source efforts.
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