Can an open source MoE truly power agentic coding workflows at a fraction of flagship model costs while sustaining long-horizon […]
Category: AI Agents
How to Build, Train, and Compare Multiple Reinforcement Learning Agents in a Custom Trading Environment Using Stable-Baselines3
In this tutorial, we explore advanced applications of Stable-Baselines3 in reinforcement learning. We design a fully functional, custom trading environment, […]
How to Build a Fully Functional Computer-Use Agent that Thinks, Plans, and Executes Virtual Actions Using Local AI Models
In this tutorial, we build an advanced computer-use agent from scratch that can reason, plan, and perform virtual actions using […]
Google vs OpenAI vs Anthropic: The Agentic AI Arms Race Breakdown
Table of contents OpenAI: CUA for GUI Autonomy, Responses as Agent Surface, and AgentKit for Lifecycle Google: Gemini 2.0 and […]
Salesforce AI Research Introduces WALT (Web Agents that Learn Tools): Enabling LLM agents to Automatically Discover Reusable Tools from Any Website
A team of Salesforce AI researchers introduced WALT (Web Agents that Learn Tools), a framework that reverse-engineers latent website functionality […]
UltraCUA: A Foundation Computer-Use Agents Model that Bridges the Gap between General-Purpose GUI Agents and Specialized API-based Agents
Computer-use agents have been limited to primitives. They click, they type, they scroll. Long action chains amplify grounding errors and […]
A Coding Guide to Build a Fully Functional Multi-Agent Marketplace Using uAgent
In this tutorial, we explore how to build a small yet functional multi-agent system using the uAgents framework. We set […]
PokeeResearch-7B: An Open 7B Deep-Research Agent Trained with Reinforcement Learning from AI Feedback (RLAIF) and a Robust Reasoning Scaffold
Pokee AI has open sourced PokeeResearch-7B, a 7B parameter deep research agent that executes full research loops, decomposes a query, […]
How to Design a Fully Functional Enterprise AI Assistant with Retrieval Augmentation and Policy Guardrails Using Open Source AI Models
In this tutorial, we explore how we can build a compact yet powerful Enterprise AI assistant that runs effortlessly on […]
Google AI Introduces VISTA: A Test Time Self Improving Agent for Text to Video Generation
TLDR: VISTA is a multi agent framework that improves text to video generation during inference, it plans structured prompts as […]