Live Coding Deepseek Causal Encoder Decoder Superposition In Neural Nets

Summary

You give an AI a huge input and want a tiny patch. Most of that work is reading the prompt — so how does If you've ever tried to run standard OCR on a multi-column research paper or a complex financial table, you know the pain: text ... In this video, we introduce the basics of how How can a massive 552-Billion parameter frontier model run with the latency and memory footprint of a 16B model? One model cuts your memory costs to a quarter of what you pay now. Welcome to another TJAi video. Why can DeepSeek-V4.1-Flash speed up model inference? Understanding the Causal Encoder-Decoder (CED) architecture. One projected cache, 890 bytes per token — how a 552-billion-parameter model holds a million tokens. Most AI agent frameworks are built around monolithic class hierarchies that make customization fragile and hardcode tool-calling ...