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AI Tutorials

Keep up to date with the latest techniques, tools, and research in artificial intelligence. Out AI tutorials will walk you though challenging machine learning models.
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Gemini 3.8 Live Tutorial: How to Build a Full-Duplex Conversational Agent with Python

Learn how to stream mic audio, handle interruptions, and call tools asynchronously in Python, then compare Gemini 3.8 Live with its Extended Thinking variant.

September 25, 2026

What is Graph Engineering? A Hands-On Guide to Multi-Agent Orchestration With LangGraph

Nodes do the work, edges decide what runs next, and shared state carries information between them. This graph engineering tutorial covers when a multi-agent graph actually beats a single loop, and walks through building a researcher, writer, and reviewer pipeline in LangGraph with a conditional retry edge.

September 24, 2026

Jev Tutorial: Building a Ticket Router With TypeSafe AI's System One Model

Learn how to set up TypeSafe AI's Python SDK, ask Choice, Score, and Noul questions in a single call, build a support ticket router that keeps the routing policy in your own code, and find out where Jev breaks before you ship it.

September 24, 2026

DeepSeek V4.1 Flash API Tutorial: Build a Visual Bug-Fixing Agent

Build a Python visual repair agent with DeepSeek V4.1 Flash, the Responses API, Playwright screenshots, apply_patch, pytest, context caching, and cost tracking.

September 22, 2026

OpenAI Agents API Tutorial: Build an Agent That Writes and Runs Code in the Cloud

Build and run a cloud agent with the OpenAI Agents API that can analyze files, execute code, verify results, and return finished artifacts from a single request.

September 22, 2026

How to Run Motif 3 Locally With DS4 and Turn It Into a Coding Agent

Run the optimized Motif-3 Quant on an NVIDIA H200 using the ds4 runtime, serve it through an OpenAI-compatible API, and integrate it with a Pi coding agent.

September 21, 2026

Kimi Browser Extension Tutorial: Automate Web Browsing With AI Agents

Learn how to set up the Kimi Browser Extension using both Kimi Work and Kimi Code CLI, and run a product search that extracts structured results from a website.

September 18, 2026

What Is Flow Matching? A Guide to Generative AI Models

Flow matching trains generative models to turn noise into data by learning a vector field that moves samples along a chosen probability path, the same idea driving continuous normalizing flows and modern diffusion models.

September 17, 2026

Deep Reinforcement Learning: Methods, Algorithms, and Applications

Deep reinforcement learning combines the trial-and-error loop of reinforcement learning with neural networks that generalize across huge state spaces.

September 17, 2026

Recursive Self-Improvement in AI: How It Works and Why It Matters

Learn what recursive self-improvement means in AI, how AI systems can help develop better AI, how close today's models are to RSI, and why the concept matters for AI capabilities and safety.

September 17, 2026

Vision-Language-Action Models Explained: How Robots Learn to See, Understand, and Act

Learn how vision-language-action (VLA) models work, how they differ from VLMs, and how to choose between OpenVLA, pi0, and SmolVLA in 2026.

September 16, 2026

GPT-Live-1 API Tutorial: Build a Full-Duplex Voice Assistant

Follow this GPT-Live-1 API tutorial to build a full-duplex voice learning assistant with browser WebRTC, backend delegation, web search, and confirmed actions.

September 15, 2026