dot product
2 stories filed under dot product on Beyond Market Intelligence. The newest of them: “Explore embeddings through the geometry of cosine similarity explained simply” and “GPU performance starts with CPU thinking: lessons from dependency chains and memory loops”. Dot products can feel abstract until you see them from both angles. A single accumulator creates a dependency chain, and most GPU performance ideas are just CPU ideas turned up. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every dot product story on Beyond Market Intelligence, newest first.
Explore embeddings through the geometry of cosine similarity explained simply
Dot products can feel abstract until you see them from both angles. This video explains the algebra and the geometry, then builds to cosine similarity in a way that finally clicks. Understanding that geometric intuition is the key to grasping how embeddings measure meaning. If that sparks your curiosity, our piece on detecting legal document conflicts with open-source precision explores a practical application of similar vector concepts.
GPU performance starts with CPU thinking: lessons from dependency chains and memory loops
A single accumulator creates a dependency chain, and most GPU performance ideas are just CPU ideas turned up. This session skips the GPU code entirely to focus on CPU parallelism, which is refreshingly practical. The sorted-vs-random loop branch cost example is a standout: check what the compiler actually generated before blaming the hardware. For those exploring deeper context in coding, our related piece on "Smarter Context, Not More Context, Unlocks Smarter Coding Agents" complements this thinking well.