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…
Google has launched Antigravity as an agentic development platform that sits on high of Gemini 3. It will not be solely an autocomplete layer, it’s an IDE the place brokers plan, execute, and clarify advanced software program duties throughout editor, terminal, and browser surfaces. Antigravity was launched on November 18, 2025, alongside Gemini 3 as…
In this tutorial, we construct an superior agentic Deep Reinforcement Learning system that guides an agent to study not solely actions inside an surroundings but in addition how to select its personal coaching methods. We design a Dueling Double DQN learner, introduce a curriculum with rising problem, and combine a number of exploration modes that…
How do you construct an AI assistant that feels emotionally clever and dependable to people, as a substitute of simply making a much bigger mannequin? Meet Grok 4.1, xAI’s newest massive language mannequin and it now powers Grok throughout grok.com, X and the cellular client apps. According to xAI staff, the mannequin is on the…
How will we transfer from language fashions that solely reply prompts to techniques that may motive over million token contexts, perceive actual world indicators, and reliably act as brokers on our behalf? Google simply launched Gemini 3 household with Gemini 3 Pro because the centerpiece that positions as a main step towards extra basic AI…
Reinforcement learning RL for big language mannequin LLM brokers seems to be engaging on paper, however in follow it breaks on price, infrastructure and reward noise. Training an agent that clicks by means of net pages or completes multi step software use can simply want tens of 1000’s of actual interactions, every gradual, brittle and…