AI
The Cost Model of LLM Features: Estimating and Controlling Spend
A framework for estimating LLM feature costs before shipping and the concrete levers that control spend once traffic scales beyond a prototype.
3 min read
Tag
Inference
4 articles
AI
Quantization Explained: What You Lose and What You Gain
A practical breakdown of LLM quantization techniques, the real quality trade-offs behind them, and how to decide how far to push it.
3 min read
AI
LLM Inference Optimization: Batching, KV Cache, and Speculative Decoding
The core techniques that make LLM inference fast and affordable at scale: batching, KV cache management, and speculative decoding explained.
3 min read
AI
How Tokenization Works and Why Engineers Should Care
A practical look at subword tokenization internals and the concrete ways tokenizer behavior affects cost, latency, and model quality.
3 min read