tutorial
30 articles about tutorial in AI news
Tiny 9M Parameter LLM Tutorial Runs on Colab, Demystifies Transformer Training
A developer shared a complete tutorial for training a ~9M parameter transformer language model from scratch, including tokenizer, training, and inference, all runnable on Google Colab in minutes.
Neural Movie Recommenders: A Technical Tutorial on Building with MovieLens Data
This Medium article provides a hands-on tutorial for implementing neural recommendation systems using the MovieLens dataset. It covers practical implementation details for both dataset sizes, serving as an educational resource for engineers building similar systems.
Claude Code v2.1.90: /powerup Tutorials, Performance Gains, and Critical Auto Mode Fix
Claude Code v2.1.90 adds interactive tutorials, improves performance for MCP and long sessions, and fixes a critical Auto Mode bug that ignored user boundaries.
MLOps in Production: The Hard Parts Nobody Ships With
A Medium post argues training ML models is the easy part; production deployment reveals data drift, monitoring gaps, and infrastructure debt that most tutorials skip.
Google CodeWiki Turns GitHub Repos Into Interactive Docs
Google launched CodeWiki, turning any GitHub repo into interactive docs with diagrams, tutorials, and a chatbot. It differentiates by structure over file summarization.
AWS Launches 'Generative AI on AWS' Developer Hub
AWS has launched 'Generative AI on AWS,' a new central portal for its AI services, SDKs, and tutorials. This move consolidates its offerings to better compete with Google's Vertex AI and Microsoft's Azure AI Studio.
Beyond Relevance: A New Framework for Utility-Centric Retrieval in the LLM Era
This tutorial paper posits that the rise of Retrieval-Augmented Generation (RAG) changes the fundamental goal of information retrieval. Instead of finding documents relevant to a query, systems must now retrieve information that is most *useful* to an LLM for generating a high-quality answer. This requires new evaluation frameworks and system designs.
A Practical Guide to Fine-Tuning an LLM on RunPod H100 GPUs with QLoRA
The source is a technical tutorial on using QLoRA for parameter-efficient fine-tuning of an LLM, leveraging RunPod's cloud H100 GPUs. It focuses on the practical setup and execution steps for engineers.
Azure ML Workspace with Terraform: A Technical Guide to Infrastructure-as-Code for ML Platforms
The source is a technical tutorial on Medium explaining how to deploy an Azure Machine Learning workspace—the central hub for experiments, models, and pipelines—using Terraform for infrastructure-as-code. This matters for teams seeking consistent, version-controlled, and automated cloud ML infrastructure.
Fenty Beauty Launches 'Rose Amber' AI Advisor on WhatsApp, Joining L'Oréal in Chat-Based Commerce Push
Fenty Beauty has launched 'Rose Amber,' a conversational AI advisor on WhatsApp for product recommendations and tutorials. This reflects a broader industry shift, with L'Oréal already generating over 20% of its DTC sales in Brazil via WhatsApp and planning a 2026 expansion of its own AI tool to the platform.
Fine-Tune Phi-3 Mini with Unsloth: A Practical Guide for Product Information Extraction
A technical tutorial demonstrates how to fine-tune Microsoft's compact Phi-3 Mini model using the Unsloth library for structured information extraction from product descriptions, all within a free Google Colab notebook.
Build-Your-Own-X: The GitHub Repository Revolutionizing Deep Technical Learning in the AI Era
A GitHub repository compiling 'build it from scratch' tutorials has become the most-starred project in platform history with 466,000 stars. The collection teaches developers to recreate technologies from databases to neural networks without libraries, emphasizing fundamental understanding over tool usage.
NVIDIA and Unsloth Release Comprehensive Guide to Building RL Environments from Scratch
NVIDIA and Unsloth have published a detailed practical guide on constructing reinforcement learning environments from the ground up. The guide addresses critical gaps often overlooked in tutorials, covering environment design, when RL outperforms supervised fine-tuning, and best practices for verifiable rewards.
Neo4j-backed course teaches agentic knowledge graph construction
Neo4j and Andreas Kollegger released a free course on agentic knowledge graph construction using Google's ADK, promising better grounding than RAG. The course teaches parallel processing of CSV and text into a linked graph.
Deploy from Claude Code in One Command with Vercel MCP's New
Vercel MCP's deploy_to_vercel tool lets Claude Code deploy projects in under 30 seconds, auto-detecting frameworks and returning a shareable URL. Set it up in 2 minutes with the MCP config.
Build a Production MCP Server in an Afternoon
Build a production MCP server for Claude Code: never console.log in stdio, use Zod describe() for typed inputs, and return errors as results. This avoids silent disconnects.
Building Intelligent Feedback Systems
A technical guide on building a customer review triage system using LangGraph, LangChain, Groq, and Pydantic. It explains how agentic workflows enable conditional routing based on sentiment analysis.
Stop Relying on CLAUDE.md for Guarantees: Build Deterministic Hooks Instead
Claude Code hooks in settings.json let you run deterministic shell commands on SessionStart, PreToolUse, PostToolUse, and other events—replacing unreliable CLAUDE.md instructions for critical behaviors like blocking dangerous commands or injecting context.
Nvidia, Hugging Face Open-Source Robot Models to Democratize Physical AI
Nvidia and Hugging Face open-sourced robot models to democratize physical AI, providing pre-trained models and simulation tools on the Hugging Face hub.
Building a Tiny Recommendation Engine with Embeddings Only
A developer created a tiny recommendation engine using only embeddings, demonstrating a lightweight approach to item-to-item recommendations without complex infrastructure.
Expose pgvector as an MCP Server: From Hardcoded RAG to Reusable Tool Server
Wrap pgvector search in FastMCP to create a reusable MCP server. Any LLM client—including Claude Code—can then query your vector database without hardcoded integrations.
How /grill-me Prevents the #1 Agentic Coding Failure: Building the Wrong Thing
Install Florian's Claude Code Kit and run `/grill-me` before non-trivial tasks. This guardrail interviews you one question at a time, forcing alignment before any code is written — catching misread requirements at their cheapest point.
NVFP4 GEMM on RTX Pro Blackwell: SM12x Breaks from B200 Programming Model
NVIDIA's SM12x architecture drops tcgen05.mma for mma.sync, breaking B200 kernel compatibility. SM8x kernels port easily; developers must maintain separate codebases.
How GitHits MCP Server Helped Claude Code Find Undocumented DuckDB C++ APIs
Install GitHits MCP to make Claude Code search real GitHub code, finding undocumented DuckDB C++ APIs for predicate pushdowns in extensions.
Claude Code Users: Why Your Rules Get Ignored (And How to Fix It with CLAUDE.md)
Claude Code's CLAUDE.md enforces project rules, unlike Cursor's legacy .cursorrules. Structure with alwaysApply: true and split by domain.
Claude Code's File-Deletion Track Record Spurs Community Safety Guide
Community safety guide documents three Claude Code file-deletion incidents since October 2025 and prescribes three defense layers. Anthropic's sandboxing remains opt-in.
VS Code Now Connects Directly to Google Colab With Free T4 GPU
Google Colab integrates with VS Code, offering a free T4 GPU inside the editor, bypassing cloud GPU providers.
How Intercom Ships AI Features 10x Faster with Claude Code and Rails
Intercom developers share battle-tested workflows for using Claude Code inside a large Rails codebase to build AI-first features rapidly.
Stop Thinking 'Progressive Disclosure' for Claude Skills — Think
A mental model shift from 'progressive disclosure' to 'progressive discovery' makes building Claude Skills more intuitive by clarifying Claude's active role in finding what it needs.
Claude Code Runs 100% Locally on Mac via Native 200-Line API Server
A developer created a 200-line server that speaks Anthropic's API natively, allowing Claude Code to run entirely locally on M-series Macs at 65 tokens/second with no cloud dependency.