The new agent, called Asimov, was developed by Reflection, a small but ambitious startup cofounded by top AI researchers from Google. Asimov reads code as well as emails, Slack messages, project ...

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 ...

Explore the hidden trade-offs of reinforcement learning in AI and why base models might hold the key to true intelligence.

As a machine learning researcher, I find it fitting that reinforcement learning pioneers Andrew Barto and Richard Sutton were awarded the 2024 ACM Turing Award. What is reinforcement learning?

Arthur Samuel, an AI pioneer, used reinforcement learning to build one of the first machine learning programs, a system capable of playing checkers, in 1955.

In recent years, Large Language Models (LLMs) have significantly redefined the field of artificial intelligence (AI), enabling machines to understand and generate human-like text with remarkable ...

Reinforcement learning is a subtype of machine learning in which a virtual agent, functioning within a set of predefined rules, aims to maximise a specified outcome or reward. This agent can consider ...

Reinforcement learning is a type of machine learning in which a computer program learns to make decisions by trying different actions and receiving feedback.