Tag: machine learning

Self-Supervised Learning Explained

Self-supervised learning is the technique behind GPT, BERT, and modern LLMs. Learn how models teach themselves from unlabeled data.

Beyond RAG: When a Virtual Filesystem Works Better

RAG is the default answer for giving LLMs access to documents. But chunking, embedding, and retrieval introduce failure modes that a virtual filesystem sidesteps entirely.

Running Gemma 4 Locally with Ollama

Google's Gemma 4 is the best open model they've shipped yet. Here's how to pull it, run it, and actually use it for real work with Ollama on your own hardware.

1-Bit LLMs: The Quantization Endgame

1-bit models store weights as -1, 0, or 1. That sounds insane until you see them run a 100B parameter model on a laptop CPU. Here's what's actually happening.

AMD Lemonade: Local LLM Serving for AMD GPUs

AMD finally has a fast, open source local LLM server that uses both GPU and NPU. If you've been jealous of Nvidia users, Lemonade is worth your time.

RAG Chunking: Why Chunk Size Is Everything

RAG breaks documents into chunks. But what chunk size? Too small and context is lost. Too large and semantic search fails. Here's how to pick.

LLM Quantization: Q4_K_M Isn't Always the Best Choice

Q4_K_M is the default, but it's not magic. When Q3, Q5, or Q6 makes sense. How to benchmark quantization tradeoffs on your hardware.

Piper vs Coqui: Text-to-Speech on Your Own Hardware (Because AWS Polly Charges Per Character Like It's 1999 SMS)

Run local TTS with Piper or Coqui on Linux, Docker, or Home Assistant. Fast, private, offline text-to-speech — no cloud fees, no data leaks, no surprises.

RAG on a Budget: Building a Knowledge Base with Ollama & ChromaDB

Learn how to build a local RAG system using Ollama and ChromaDB for free. Step-by-step guide with Docker Compose, Python code, chunking strategies, and real-world examples.

Stable Diffusion vs ComfyUI vs Fooocus: AI Image Generation at Home

Compare Stable Diffusion (A1111 & Forge), ComfyUI, and Fooocus for local AI image generation. GPU requirements, Docker setups, workflows, and beginner picks explained.

LangGraph vs CrewAI vs AutoGen: AI Agent Frameworks for Mere Mortals

Confused by AI agent frameworks? Compare LangGraph, CrewAI, and AutoGen with real Python examples, a no-nonsense breakdown, and zero hype. Pick the right one.

LLM Fine-Tuning for Mortals: LoRA, QLoRA, and Your Gaming GPU

Learn LLM fine-tuning with LoRA and QLoRA on a consumer GPU. Practical guide covering dataset prep, Hugging Face, Unsloth, VRAM needs, and common pitfalls.