Context Window vs Token Limit: Not the Same Thing
What's the actual difference between context window and token limit? Why one model says 8K and another says 128K. A practical breakdown.
Tag: llm
All the articles with the tag "llm".
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.
n8n + LLM: Building Automations That Actually Think
Connect n8n to Ollama or any local LLM to build smart automations that classify, summarize, and triage, not just shuffle data around blindly.
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.
Whisper & Faster-Whisper: Self-Hosted Speech-to-Text That Actually Works
Run OpenAI Whisper or Faster-Whisper locally with Docker. Better privacy, zero API costs, and surprisingly good accuracy, even on a potato CPU.
Continue.dev vs Cody vs Tabby: AI Code Assists That Live on Your Machine
Compare Continue.dev, Cody, and Tabby, three self-hosted AI code assistants that keep your code private, cost nothing per token, and work offline.
Flowise vs Langflow: Build AI Pipelines Without Writing a Novel
Flowise vs Langflow compared: self-hosted, Docker-ready visual LLM workflow builders. Build no-code AI pipelines, RAG chatbots, and more, without losing your mind.
n8n vs Node-RED: Automate Everything Without Learning to Code (Much)
n8n vs Node-RED: self-host your own Zapier killer. Compare workflow automation tools, Docker setup guides, and real examples for 2026.
Ollama: Powerful Language Models on Your Own Machine
Ollama makes running local LLMs dead simple, pull a model, start the server, and get a private ChatGPT running on your own hardware.
Unleash the Power of LLMs with LocalAI
LocalAI is a self-hosted OpenAI-compatible API, run any GGUF model and connect existing tools without changing a line of client code.
Machine Learning models (AI)
Supervised, unsupervised, reinforcement learning, the ML model landscape explained without drowning in math or hype.