NextBigFuture

Reinforcement Learning Does NOT Fundamentally Improve AI Models

Reinforcement Learning does NOT make the base model more intelligent and limits the world of the base model in exchange for early pass performances. Graphs show that after pass 1000 the reasoning ...
Nature

AI can learn to show its workings through trial and error

Large language models (LLMs) are more accurate when they output intermediate steps. A strategy called reinforcement can teach them to do this without being told. The researchers introduced a paradigm ...
International Monetary Fund

Reinforcement Learning from Experience Feedback: Application to Economic Policy

Learning from the past is critical for shaping the future, especially when it comes to economic policymaking. Building upon the current methods in the application of Reinforcement Learning (RL) to the ...
SiliconANGLE

Databricks partners with Anthropic and touts breakthrough in reinforcement learning

Databricks Inc. and Anthropic PBC said today that they have entered a five-year partnership to make Anthropic’s Claude large language models and services available on the Databricks Data Intelligence ...

New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 ...
VentureBeat

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning. The ...