Browsing: Learning

From personalized recommendations to scientific advances, AI models are helping to improve lives and transform industries. But the impact and accuracy of these AI models is…

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has…

The last decade has seen incredible progress in machine learning (ML), primarily driven by powerful neural network architectures and the algorithms used to train them. However,…

In this tutorial, we explore how an agent can internalize planning, memory, and tool use within a single neural model rather than relying on external orchestration.…

In this tutorial, we explore Hydra, an advanced configuration management framework originally developed and open-sourced by Meta Research. We begin by defining structured configurations using Python…

AgiBot has just achieved what many in robotics research have been chasing for years: the first real-world deployment of reinforcement learning (RL) in industrial robotics. In…

How can AI teams run Tinker style reinforcement learning on large language models using their own infrastructure with a single unified engine? Anyscale and NovaSky (UC…

How can a small model learn to solve tasks it currently fails at, without rote imitation or relying on a correct rollout? A team of researchers…

!pip install -q pyspark==3.5.1 from pyspark.sql import SparkSession, functions as F, Window from pyspark.sql.types import IntegerType, StringType, StructType, StructField, FloatType from pyspark.ml.feature import StringIndexer, VectorAssembler from…