Chinese researchers have introduced 'O1-CODER', a framework focused on enhancing coding tasks as an alternative to OpenAI's o1 model.
O1-CODER incorporates reinforcement learning (RL) and Monte Carlo Tree Search (MCTS) techniques to improve System-2 thinking for coding challenges.
The model follows a two-step process of reasoning through the problem using pseudocode and then generating the actual code.
Future versions of O1-CODER will focus on real-world applications, aiming to tackle more complex tasks and improve reasoning and problem-solving abilities.