In this episode, we discuss Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention by Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal. The paper presents a novel method for enabling Transformer-based Large Language Models to process extremely long inputs while keeping memory and computational requirements fixed. The technique introduced, called Infini-attention, blends a new form of memory-augmented attention with local and linear long-term attention within a single Transformer layer. The effectiveness of this method is demonstrated through impressive performance on long-context challenges, including a one million length sequence task and a half-million word book summarization, while maintaining efficient streaming capabilities and a minimal increase in memory parameters.
AI Breakdown