Deepseek For Revenue

DeepSeek AI’s determination to open-supply both the 7 billion and 67 billion parameter versions of its models, including base and specialised chat variants, aims to foster widespread AI research and industrial purposes. Reinforcement learning (RL): The reward model was a process reward mannequin (PRM) skilled from Base in response to the Math-Shepherd method. The reward mannequin was continuously up to date throughout training to keep away from reward hacking. The rule-based mostly reward model was manually programmed. AI observer Shin Megami Boson confirmed it as the highest-performing open-supply model in his private GPQA-like benchmark. The paper presents the CodeUpdateArena benchmark…