Google researchers detail a technique that gives LLMs the ability to work with text of infinite length while keeping memory and compute requirements constant
A new paper by researchers at Google claims to give large language models (LLMs) the ability to work with text of infinite length.
Google presents Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention 1B model that was fine-tuned on up to 5K sequence length passkey instances solves the 1M length problem https://arxiv.org/... [image]
Google announces Leave No Context Behind Efficient Infinite Context Transformers with Infini-attention This work introduces an efficient method to scale Transformer-based Large Language Models (LLMs) to infinitely long inputs with bounded memory and computation. A key [image]