Optimal Explainable and Reliable AI

Unlocking the Potential of Language Models: Streamlining Text Generation Challenges with StreamingLLM

Navigating the complexities of infinite-length text with Language Models (LLMs) poses unique challenges. Storing extensive Key and Value (KV) states demands substantial memory, and models may encounter difficulties generating text beyond their training sequence length. StreamingLLM tackles this by preserving only the latest tokens and attention sinks, discarding intermediate tokens. This empowers the model to produce coherent text from recent tokens without requiring a cache reset—a capability not present in previous methodologies.

https://github.com/mit-han-lab/streaming-llm