embedding
embedding on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on embedding in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around embedding, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
![GPT-2 Small’s embedding geometry around “Trump”: discretized vs. continuous nearest neighbours [P]](https://preview.redd.it/tlvz4c3i32eh1.png?width=640&crop=smart&auto=webp&s=aad6aeec9197e26debda00093dd47611e70c5a08)
GPT-2 Small’s embedding geometry around “Trump”: discretized vs. continuous nearest neighbours [P]
This visualization offers a compelling look into GPT-2 Small’s foundational understanding of language. Examining the token "Trump" within its static embedding table reveals a fascinating distinction: nearest neighbors shift dramatically depending on whether the embedding space is treated as continuous or discretized. The continuous representation yields a surprisingly specific group – family, staff, rivals, and former presidents like Obama and Eisenhower – while discretization produces broader political terms.
![Follow up: GPT-2's vocabulary as a hyperbolic tree — 32,070 tokens in a Poincaré ball you can fly through [P]](https://preview.redd.it/o6l1c96lo6eh1.png?width=640&crop=smart&auto=webp&s=92447206205a44b4f473a41cc8557c245d73a7d0)
Follow up: GPT-2's vocabulary as a hyperbolic tree — 32,070 tokens in a Poincaré ball you can fly through [P]
Explore the fascinating architecture of GPT-2's vocabulary with a unique visualization: a hyperbolic tree containing 32,070 tokens rendered within a Poincaré ball. This interactive experience, running directly on your phone, allows you to navigate the relationships between tokens through intuitive drag, pinch, and tap interactions. The structure reveals a natural "forest" of interconnected elements, best represented in hyperbolic space—a design that elegantly accommodates the vocabulary's complex similarity structure. Discover more on this topic with our article, "Kimi: Threat or menace?".
Anthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just models
Anthropic and Blackstone appear to agree: the next trillion-dollar AI opportunity lies not solely in developing advanced models, but in their practical implementation. Ode, an Anthropic-backed venture, embodies this shift, focusing on embedding AI engineers directly within businesses to accelerate adoption. This strategy addresses a critical challenge – bridging the gap between powerful AI and real-world application. As Gwen Shapira demonstrates in our related piece, "Postgres for Production Agents," relational foundations are key for scaling AI features in mission-critical environments.