UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...

Overview:  Python libraries help businesses build powerful tools for data analysis, AI systems, and automation faster and more efficiently.Popular librarie ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Abstract: Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrievalaugmented ...

Abstract: Code optimization is a crucial task that aims to enhance code performance. However, this process is often tedious and complex, highlighting the necessity for automatic code optimization ...

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...

Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you through how an algorithm interacts with an environment, learns through trial ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

AI Dev, DeepLearning.ai's AI conference, made its NYC debut. We sat down with Andrew Ng at the event to talk AI and developers. Ng recommends that everyone learn to code. The second annual AI Dev, a ...

Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python code. Perfect for those diving into advanced reinforcement learning ...