AI Agents, LLMs & Economic Growth : Karpathy’s Surprising Predictions

Discover Andrej Karpathy's insights on AI agents, LLMs, and economic growth. Insights on memory, education, and economic ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
eLife

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
IEEE

Optimization of Reinforcement Learning Using Quantum Computation

Abstract: Exploring the convergence of quantum computing and machine learning, this paper delves into Quantum Reinforcement Learning (QRL) with a specific focus on Variational Quantum Circuits (VQC).
GeekWire

CoreWeave to acquire OpenPipe, a Seattle-area startup that uses reinforcement learning to ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Sep 4, 2025 at 8:00 ...
Baltimore Ravens

Roquan Smith Sets the Example by Learning to Swim

One of Roquan Smith's favorite sayings is "chin up, chest out." It's a reference to taking on challenges head-on, without fear or regrets. In the pool at Loyola College's aquatics center Tuesday ...
GitHub

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Our training pipeline is adapted from verl and rllm(DeepScaleR). The installation commands that we verified as viable are as follows: conda create -y -n rlvr_train ...
marktechpost

LLMs Can Learn Complex Math from Just One Example: Researchers from University of ...

Recent advancements in LLMs such as OpenAI-o1, DeepSeek-R1, and Kimi-1.5 have significantly improved their performance on complex mathematical reasoning tasks. Reinforcement Learning with Verifiable ...
Frontiers

Editorial: Hippocampal function and reinforcement learning

The hippocampus has historically been recognized as a critical neural substrate for the formation and retrieval of episodic memories. Concurrently, reinforcement learning (RL) has emerged as a ...