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...
In this paper, we introduce Positional Skip-wisE (PoSE) training for efficient adaptation of large language models~(LLMs) to extremely long context windows. PoSE decouples train length from target context window size by simulating long inputs using a fixed conte...
A context windowrefers to the amount of information alarge language model (LLM)can process in a single prompt. Context windows are like a human’s short-term memory. Like us, LLMs can only “look” at so much information simultaneously. So, in Q&A format applications like Anthropic’s...
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。
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 context window (or “context length”) of a large language model (LLM) is the amount of text, in tokens, that the model can consider or “remember” at once.
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 LLM...
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. ...