context window,即LLM所允许的“输入+输出”(Prompt+Completion)最大tokens长度限制。 常见的开源模型,这一数值通常为2k、4k;常见的闭源模型,往往能够达到更大的数值,如GPT-3.5-turbo支持16k,GPT-4支持128k,而Claude 2.1则支持200k。尽管如此,我们依然可以隐隐感觉到,提升context window的大小,在目前的技术范式下(以...
基于LLM的程序 系列 LLM炼丹trick拾遗 系列 产品视角看LLM 系列 ChatGPT 系列(主要是2023.5.1以前的文章) 本文的内容已经过时,请跳转 【2023Q4】再谈Long-Context LLM 前言 本文主要谈LLM的Context Window的重要性,以及谈一下我对LLM这方面能力未来短期发展的展望。 相关文章: 【2023H1】漫谈ChatGPT系列(7):谈LL...
由于不是直接处理长 Context,因此通常无法做精细的阅读理解,而且这些方案往往需要在训练阶段就考虑进去,而不是事后即插即用到已有的 LLM 模型中。 在NBCE 之前,能够不微调地扩展 Context 长度的方案是 Parallel Context Window(下面简称 PCW),出自论文《Parallel Context Windows for Large Language Models》[3]和《...
Large context window is a desirable feature in large language models (LLMs). However, due to high fine-tuning costs, scarcity of long texts, and catastrophic values introduced by new token positions, current extended context windows are limited to around 128k tokens. This paper ...
确实如此,当古老的朴素贝叶斯与前沿的 LLM 相遇时,产生了令人惊讶的效果——我们可以直接扩展现有 LLM 模型的 Context 处理长度,无需对模型进行微调,也不依赖于模型架构,具有线性效率,而且效果看起来还不错——这就是本文所提出的NBCE(NaiveBayes-basedContextExtension)方法。
The Secret Sauce behind 100K context window in LLMs: all tricks in one place. Galina Alperovich. 2023. Transformer升级之路:7、长度外推性与局部注意力. 苏剑林(Jianlin Su). 2023. Transformer升级之路:9、一种全局长度外推的新思路. 苏剑林(Jianlin Su). 2023. Transformer升级之路:12、无限外推的...
In a recent collaboration, AI startupGradientand cloud compute platformCrusoeextended the “context window” of Llama-3 models to 1 million tokens. The context window determines the number of input and output tokens a large language model (LLM) can process. ...
Context window:Think of this as the usable short-term memory or temporary storage of an LLM. It’s the maximum amount of text—measured in tokens—that the model can consider at one time while generating a response. RAG:This is a supplementary technique that improves the accuracy of LLMs ...
The RULER benchmark includes several complex multi-hop or multi-needle tasks, effectively reflecting the actual context window size of LLMs. As shown in Table 1, our method effectively preserves the actual context window processing capability of LLMs and even slightly extends the ...
The Secret Sauce behind 100K context window in LLMs: all tricks in one place. Galina Alperovich. 2023. Transformer升级之路:7、长度外推性与局部注意力. 苏剑林(Jianlin Su). 2023. Transformer升级之路:9、一种全局长度外推的新思路. 苏剑林(Jianlin Su). 2023. Transformer升级之路:12、无限外推的...