unite6h
Reinforcement Learning Meets Chain-of-Thought: Transforming LLMs into Autonomous Reasoning Agents
Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in ...
Hosted on MSN18h
Reinforcement Learning Triples Spot’s Running Speed
Boston Dynamics released a research version of its Spot quadruped robot, which comes with a low-level application programming interface (API) that allows direct control of Spot’s joints. Even back ...
unite8d
The Many Faces of Reinforcement Learning: Shaping Large Language Models
In recent years, Large Language Models (LLMs) have significantly redefined the field of artificial intelligence (AI), ...
devdiscourse4d
How reinforcement learning and generative AI drive the next wave of data-centric AI innovation
Generative AI provides another transformative approach for optimizing tabular data. Instead of manually selecting or ...
How DeepSeek’s Lower-Power, Less-Data Model Stacks Up
DeepSeek’s reliance on reinforcement learning allows the model to use less data and a fraction of the computing power than ...
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Dopamine acts on motivation and reinforcement learning via distinct cellular processes, study suggests
Dopamine is a key neurotransmitter known to modulate motivation and reinforcement learning. While the role of dopamine in these reward-related processes is well-established, the cellular and ...
Open-source DeepSeek-R1 uses pure reinforcement learning to match OpenAI o1 — at 95% less cost
The company developed DeepSeek-R1 by using pure reinforcement learning on top of DeepSeek-V3-Base, and matched or beat o1 on some benchmarks.