FURYBEE AI
Understanding Artificial Intelligence — from fundamentals to frontier models. Learn about AI concepts, technology, and benchmarks.
▸ Latest Articles
AI Inference Optimization: Making Models Fast and Cheap
Quantization, KV cache, speculative decoding, batching — a practical guide to making LLM inference faster and more cost-effective.
Mixture of Experts: How AI Models Scale Without Losing Efficiency
Explore how Mixture of Experts (MoE) architecture enables massive AI models to run efficiently by activating only a fraction of their parameters per token.
Multimodal Models Explained: When AI Sees, Hears, and Reads
How modern AI models process images, audio, and text together — the architecture behind GPT-4o, Gemini, and the multimodal revolution.
Beyond RLHF: Constitutional AI, DPO, and the Alignment Frontier
How the field moved past vanilla RLHF to Constitutional AI, Direct Preference Optimization, and newer alignment techniques shaping frontier models.
Retrieval-Augmented Generation (RAG) Explained
How RAG combines the power of LLMs with external knowledge bases to produce accurate, up-to-date answers.
The Transformer Architecture: How Attention Changed Everything
A clear explanation of the transformer model — the architecture behind GPT, BERT, and virtually every modern LLM.
⟨/⟩ 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.
Embedding Similarity Checker
Compare texts semantically using embeddings and cosine similarity. Find similar documents, detect duplicates, and build search systems.
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.
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.