AI Agents

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…

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…

Google DeepMind has launched SIMA 2 to check how far generalist embodied brokers can go inside complicated 3D sport worlds. SIMA’s (Scalable Instructable Multiworld Agent) new model upgrades the unique instruction follower right into a Gemini pushed system that causes about objectives, explains its plans, and improves from self play in many alternative environments. From…

In this tutorial, we discover how to construct agentic techniques that suppose past a single interplay by using reminiscence as a core functionality. We stroll by how we design episodic reminiscence to retailer experiences and semantic reminiscence to seize long-term patterns, permitting the agent to evolve its behaviour over a number of classes. As we…