FURYBEE AI
Understanding Artificial Intelligence — from fundamentals to frontier models. Learn about AI concepts, technology, and benchmarks.
▸ Latest Articles
The Energy and Water Footprint of AI: What Training and Inference Really Cost
Where AI's energy and water use actually goes, why per-query estimates vary wildly, and the concrete levers practitioners have to reduce both.
Diffusion Models Explained: How AI Generates Images and Video
The forward and reverse noise process, latent diffusion, classifier-free guidance, and how the same idea extends from still images to video.
Model Distillation: How Small Models Learn from Big Ones
How teacher-student training, soft labels, and temperature scaling let a small model absorb a large one's knowledge and sometimes beat it at a narrow task.
Agentic Coding Assistants: How AI Pair Programmers Actually Work
Inside the plan-read-edit-test loop that lets AI coding agents navigate real codebases, and the concrete ways they still fail.
Structured Outputs and JSON Mode: Getting Reliable Data from LLMs
How constrained decoding, JSON Schema, and validation-retry loops turn probabilistic LLM output into data your pipeline can actually trust.
Prompt Caching: Cutting Inference Costs in Production
How prefix-based prompt caching works at the KV-cache level, what makes a prompt cacheable, and how to structure requests so you actually hit the cache.
⟨/⟩ Scripts & Configs
Prompt Templates Library
Battle-tested prompt patterns for common AI tasks. Chain-of-thought, few-shot, role-playing, and more. Copy, paste, and customize.
LLM API Playground
A unified Python script to test and compare responses from OpenAI, Anthropic, and Ollama APIs side by side. Perfect for prompt iteration.
Embedding Similarity Checker
Compare texts semantically using embeddings and cosine similarity. Find similar documents, detect duplicates, and build search systems.
Token Counter
Count tokens for any text using multiple tokenizers. Supports OpenAI (tiktoken), Llama, Mistral, and Claude. Essential for prompt engineering.
RAG Starter Kit
A minimal but complete Retrieval-Augmented Generation setup with ChromaDB, OpenAI embeddings, and a query interface. From zero to RAG in 5 minutes.
LoRA Fine-Tuning Starter
Fine-tune any Hugging Face model using LoRA with minimal VRAM. Complete script with dataset preparation, training, and inference.
Ollama Quickstart
Run LLMs locally with Ollama. Complete setup guide with model downloads, API usage, and integration examples. Privacy-first AI in minutes.