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.
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.
AI Developer Tools Shift to Mac-First, Excluding Windows/Linux Users
AI developers report a growing trend of cutting-edge AI tools being released exclusively or primarily for macOS, making it difficult for Windows and Linux users to access the latest innovations. This platform shift creates a hardware-based barrier to entry in the AI development ecosystem.
Windsurf AI Adds 'Clone GitHub Repo' Feature for Code Context
Windsurf AI now lets users clone a GitHub repository directly within the tool. This allows its AI to answer questions about the repo and use its code snippets to assist in building new artifacts.
Ollama vs. vLLM vs. llama.cpp
A technical benchmark compares three popular open-source LLM inference servers—Ollama, vLLM, and llama.cpp—under concurrent load. Ollama, despite its ease of use and massive adoption, collapsed at 5 concurrent users, highlighting a critical gap between developer-friendly tools and production-ready systems.
Claude Code Digest — Apr 11–Apr 14
Bypass Claude Code rate limits for just $2/month with a proxy API and unlock unlimited access.
Karpathy's LLM Wiki Hits 5k Stars, Gains Memory Lifecycle Extension
Andrej Karpathy's LLM Wiki repository gained 5,000 GitHub stars in two days. A developer has now extended it with memory lifecycle features, addressing a noted gap.
Seven Voice AI Architectures That Actually Work in Production
An engineer shares seven voice agent architectures that have survived production, detailing their components, latency improvements, and failure modes. This is a practical guide for building real-time, interruptible, and scalable voice AI.
Claude Code's /powerup Command
Claude Code's April 2026 update includes /powerup—built-in interactive lessons that teach core features without leaving your terminal.
Anthropic, Google, Meta, NVIDIA Offer Free AI Learning Resources
A curated list from VMLOps highlights free AI learning resources from 10 major companies, including Anthropic, Google, Meta, and NVIDIA. This reflects a broader industry effort to lower the barrier to entry and cultivate talent for their respective platforms.
Awesome AI Apps GitHub Repo Hits 9.2K Stars with 70+ Runnable Agent Projects
The 'Awesome AI Apps' GitHub repository has amassed 9.2K stars by providing 70+ self-contained, runnable AI agent projects. It structures examples from basic bots to multi-agent pipelines, offering a practical alternative to link-only lists.
Screen Studio AI Transforms Screen Recordings into Apple-Style Demos
A developer built Screen Studio, an AI tool that transforms standard screen recordings into high-end product demos with 3D device mockups, animated text, and synced music in 20 minutes. It's free, exports in 4K, and requires no signup.
Stanford Releases Free LLM & Transformer Cheatsheets Covering LoRA, RAG, MoE
Stanford University has released a free, open-source collection of cheatsheets covering core LLM concepts from self-attention to RAG and LoRA. This provides a consolidated technical reference for engineers and researchers.
A Practical Guide to Fine-Tuning Open-Source LLMs for AI Agents
This Portuguese-language Medium article is Part 2 of a series on LLM engineering for AI agents. It provides a hands-on guide to fine-tuning an open-source model, building on a foundation of clean data and established baselines from Part 1.