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 component in our proposed approach is a new attention
technique dubbed Infini-attention. The Infini-attention incorporates a
compressive memory into the vanilla attention mechanism and builds in both
masked local attention and long-term linear attention mechanisms in a single
Transformer block. We demonstrate the effectiveness of our approach on
long-context language modeling benchmarks, 1M sequence length passkey context
block retrieval and 500K length book summarization tasks with 1B and 8B LLMs.
Our approach introduces minimal bounded memory parameters and enables fast
streaming inference for LLMs.
66173d43332ce7fc19839dab
Tsendsuren Munkhdalai
66173d43332ce7fc19839dac
Manaal Faruqui
66173d43332ce7fc19839dad
Siddharth Gopal
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 component in our proposed approach is a new attention
technique dubbed Infini-attention. The Infini-attention incorporates a
compressive memory into the vanilla attention mechanism and builds in both
masked local attention and long-term linear attention mechanisms in a single
Transformer block. We demonstrate the effectiveness of our approach on
long-context language modeling benchmarks, 1M sequence length passkey context
block retrieval and 500K length book summarization tasks with 1B and 8B LLMs.
Our approach introduces minimal bounded memory parameters and enables fast
streaming inference for LLMs.
A novel Infini-attention mechanism allows Transformer-based LLMs to handle infinitely long inputs with limited memory and compute, enabling efficient long-context modeling and fast inference.
Infini-attention Transformer-based Large Language Models (LLMs) compressive memory masked local attention long-term linear attention long-context language modeling streamlining inference