DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper submitted by #DeepSeek team has generated significant attention in the AI community.

This work addresses the enhancement of reasoning capabilities in Large Language Models (LLMs) through the application of reinforcement learning techniques. The authors introduce a novel framework, DeepSeek-R1, which aims to improve LLM reasoning abilities by incorporating incentives for logical reasoning processes within their training. This integration of reinforcement learning allows LLMs to go beyond basic linguistic processing, developing sophisticated reasoning methods that can boost performance across a wide array of complex applications.

This approach has cause lots of discussions in different communities, but it definitely opens up the whole new direction of development for the research.

Source: https://arxiv.org/abs/2501.12948

#nn #LLM

@opendatascience

Data Science by ODS.ai 🦜

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper submitted by #DeepSeek team has generated significant attention in the AI community.

This work addresses the enhancement of reasoning capabilities in Large Language Models (LLMs) through the application of reinforcement learning techniques. The authors introduce a novel framework, DeepSeek-R1, which aims to improve LLM reasoning abilities by incorporating incentives for logical reasoning processes within their training. This integration of reinforcement learning allows LLMs to go beyond basic linguistic processing, developing sophisticated reasoning methods that can boost performance across a wide array of complex applications.

This approach has cause lots of discussions in different communities, but it definitely opens up the whole new direction of development for the research.

Source: https://arxiv.org/abs/2501.12948

#nn #LLM

@opendatascience

hottg.com/opendatascience/2186

8.2K viewsJan 29 at 18:54