Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Family vacations are thrilling as they bring in new places, stunning views, and memories that count. Nevertheless, every ...

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.

Chinese robotics firm Unitree has launched what it claims is the world's first robot app store, now in public beta for i ...

Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Abstract: This paper studies how AI-assisted programming and large language models (LLM) improve software developers' ability via AI tools (LLM agents) like Github Copilot and Amazon CodeWhisperer, ...

Abstract: Despite the significant advancements in single-agent evolutionary reinforcement learning, research exploring evolutionary reinforcement learning within multi-agent systems is still in its ...

Here are six predictions for how AI capabilities will evolve in 2026.

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...