# LLM Foundations Hub > [!Note] > Sub-hub for the building blocks of Large Language Models: architecture, > training, inference, alignment, and the broader generative-AI surfaces > that LLMs sit within. ## 1. The model itself - [[Large Language Model]] - [[Foundation Model]] - [[Transformer Architecture]] - [[Attention Mechanism]] - [[Scaling Laws]] --- ## 2. Inputs and representations - [[Tokenization]] - [[Embedding]] --- ## 3. Training and post-training - [[Pretraining]] - [[Fine-Tuning]] - [[RLHF]] - [[Constitutional AI]] - [[Alignment]] --- ## 4. Inference - [[Sampling]] - [[Temperature]] - [[Hallucination]] - [[Speculative Decoding]] - [[Draft Model]] - [[Acceptance Rate]] - [[Modified Rejection Sampling]] - [[Self-Drafting]] --- ## 5. Generative AI more broadly - [[Generative AI]] - [[Diffusion Model]] - [[Multimodal Model]] --- ## 6. Anchor sources - [[Attention Is All You Need (Vaswani et al.)]] - [[Constitutional AI (Bai et al.)]] --- ## Up - [[0 - Modern AI Software Engineering Hub]]