Abstract: The field of artificial intelligence is in the midst of a paradigm war. On one front, autoregressive large language models (LLMs) like GPT-4, LLaMA-3, and Qwen2 have established dominance in textual reasoning, demonstrating remarkable prowess in comprehension, logic, and instruction following. On another, the world of multimodal AI—processing and generating across text, images, audio,…
Introduction Autoregressive language models generate text one token at a time. Each new prediction requires a full forward pass through all transformer layers, leading to redundant computations. For example, generating the next token in: [What, is, in,] → [the] requires recomputing attention over [What, is, in,] even though these tokens haven’t changed. KV Caching solves this inefficiency by…
The introduction of DeepSeek has triggered a paradigm shift in the AI landscape. Its ability to outperform existing technologies at a fraction of the cost has sent ripples throughout the tech industry.
