Matt Webb, Founder of Acts Not Facts, explores how Agentic AI is reshaping business—from operations to customer relationships. Drawing on real-world experience and emerging signals, he reveals what’s ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

And it’s a shame, because learning should be continual. Ultimately, I hope to move on from these early steps, which are purely supervised, and incorporate the insights into better reinforcement ...

More recently, reinforcement learning has been crucial to guiding the output of large language models (LLMs) and producing extraordinarily capable chatbot programs.

DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrates remarkable reasoning capabilities. Through RL, ...

Outrider Technologies Inc. today said it has deployed advanced reinforcement learning, or RL, techniques to maximize freight throughput at customer sites. The company said its RL models can increase ...

Humans estimate different forms of uncertainty during learning, but do so imprecisely, leading to the misattribution of random fluctuations as fundamental shifts.

OpenAI’s reinforcement fine-tuning (RFT) is set to transform how artificial intelligence (AI) models are customized for specialized tasks. Using reinforcement learning, this method improves a ...