Agentic AI

In this tutorial, we show how to mix the strengths of symbolic reasoning with neural studying to construct a highly effective hybrid agent. We deal with creating a neuro-symbolic structure that makes use of classical planning for construction, guidelines, and goal-directed habits, whereas neural networks deal with notion and motion refinement. As we stroll by…

How can we safely let an AI agent deal with actual internet duties like reserving, looking out, and type filling immediately on our personal units with out sending all the things to the cloud? Microsoft Research has launched Fara-7B, a 7 billion parameter agentic small language model designed particularly for laptop use. It is an…

In this tutorial, we code a mini reinforcement studying setup wherein a multi-agent system learns to navigate a grid world by way of interplay, suggestions, and layered decision-making. We construct all the things from scratch and convey collectively three agent roles: an Action Agent, a Tool Agent, and a Supervisor, so we will observe how…

In this tutorial, we discover how to construct a totally offline, multi-step reasoning agent that makes use of the Instructor library to generate structured outputs and reliably orchestrate complicated instrument calls. In this implementation, we design an agent able to selecting the best instrument, validating inputs, planning multi-stage workflows, and recovering from errors. We convey…

OpenAI has launched GPT-5.1-Codex-Max, a frontier agentic coding mannequin designed for lengthy working software program engineering duties that span tens of millions of tokens and multi hour periods. It is accessible right now inside Codex within the CLI, IDE extension, cloud integration and code assessment surfaces, with API entry deliberate quickly. What GPT-5.1-Codex-Max is optimised…