AI 101: Your Ultimate Guide to Attention: Mechanism, QKV, and KV Cache
Attention in AI lets Transformers decide which tokens matter most. Covers QKV, KV cache, self-attention, GQA, MLA, FlashAttention, and modern variants.
xLSTM extends classic LSTM with exponential gating and matrix memory. Learn how it compares to Transformers, what sLSTM and mLSTM are, and when to use it.
9 types of deep learning explained: CNNs, RNNs, transformers, GANs, diffusion models & more. Visual flashcards for ML practitioners. Turing Post AI 101.
#5: AI Workflow Patterns: The Real Unit of AI Adoption in 2026
Seven agentic AI workflow primitives, eight production patterns, and a practical framework for deciding which workflows to automate first — with real use cases.