LLM Inference Engineering: Foundations and Model Types

blaizedsouza · x · 2026-08-17

This post outlines essential knowledge for LLM inference engineering. It defines inference engineering as optimizing for speed, cost, and reliability. It traces the history of neural networks from perceptrons to RNNs and LSTMs, highlighting the impact of 'Attention is All You Need.' It also categorizes transformer-based models into Autoregressive Token Generation and Denoising (diffusion) methods.

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LLM Inference Engineering: Foundations and Model Types

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