In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

So, you’re looking to learn Python, huh? It’s a pretty popular language, and for good reason. It’s used for all sorts of things, from making websites to crunching numbers. Finding the right book can ...

The Python extension now supports multi-project workspaces, where each Python project within a workspace gets its own test tree and Python environment. This document explains how multi-project testing ...

Microsoft has warned of a multi‑stage adversary‑in‑the‑middle (AitM) phishing and business email compromise (BEC) campaign targeting multiple organizations in the energy sector. "The campaign abused ...

LangChain releases Deep Agents with subagents and skills primitives to tackle context bloat in AI systems. Here's what developers need to know. LangChain has released Deep Agents, a framework designed ...

Around ten years ago, an organic farmer and baker in a small Austrian town noticed that his pet cow would use sticks to scratch herself. The cow, named Veronika, also appeared to refine her technique ...

A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed for reproducibility and cost-conscious ...

Abstract: In this paper, we propose scalable methods for Gaussian process (GP) prediction in decentralized multi-agent systems. Multiple aggregation techniques for GP prediction are decentralized with ...