LLM Temperature and top_p Explained Without the Math
Temperature and top_p control randomness in LLMs. No probability theory needed. Just practical intuition and how to tune them.
All the articles with the tag "ai".
Temperature and top_p control randomness in LLMs. No probability theory needed. Just practical intuition and how to tune them.
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.
System prompts are your secret weapon. How they work, why they matter more than you think, and 5 patterns that actually change model behavior.
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.
What's the actual difference between context window and token limit? Why one model says 8K and another says 128K. A practical breakdown.
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.
Compare Stable Diffusion (A1111 & Forge), ComfyUI, and Fooocus for local AI image generation. GPU requirements, Docker setups, workflows, and beginner picks explained.
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.
Run OpenAI Whisper or Faster-Whisper locally with Docker. Better privacy, zero API costs, and surprisingly good accuracy — even on a potato CPU.
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 compared: self-hosted, Docker-ready visual LLM workflow builders. Build no-code AI pipelines, RAG chatbots, and more — without losing your mind.
Write Stable Diffusion prompts that actually work — style keywords, negative prompts, weights, and the patterns that get consistent results.