How do you convert real agent traces into reinforcement learning RL transitions to improve policy LLMs without changing your existing […]
Category: agentic AI
The next wave of AI assistants: From chatbots to autonomous agents
AI assistants, like chatbots, have been providing customer support and functioning in sales and internal support roles for a very […]
How Exploration Agents like Q-Learning, UCB, and MCTS Collaboratively Learn Intelligent Problem-Solving Strategies in Dynamic Grid Environments
In this tutorial, we explore how exploration strategies shape intelligent decision-making through agent-based problem solving. We build and train three […]
MiniMax Releases MiniMax M2: A Mini Open Model Built for Max Coding and Agentic Workflows at 8% Claude Sonnet Price and ~2x Faster
Can an open source MoE truly power agentic coding workflows at a fraction of flagship model costs while sustaining long-horizon […]
How to Build an Agentic Decision-Tree RAG System with Intelligent Query Routing, Self-Checking, and Iterative Refinement?
In this tutorial, we build an advanced Agentic Retrieval-Augmented Generation (RAG) system that goes beyond simple question answering. We design […]
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, […]
A New AI Research from Anthropic and Thinking Machines Lab Stress Tests Model Specs and Reveal Character Differences among Language Models
AI companies use model specifications to define target behaviors during training and evaluation. Do current specs state the intended behaviors […]
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 […]