上下文窗口(Context Window) 语言模型使用特定长度的token 序列进行训练,该长度就是上下文窗口的大小——通常受硬件和内存的约束。上下问窗口限制了LLM能够处理的输入数据量。 预训练(Pretraining) 语言模型的训练分为多个阶段,第一个计算是自监督(self-supervised)的预训练步骤。该阶段的训练目标是next-token prediction...
However, a major limitation of LLMs is their fixed context length. As LLMs have no memory outside their context window, it poses a significant challenge when tackling tasks that involve processing long documents or engaging in extended conversations.GPT: We need LLMs because they have ...
Figure 1: While long-context LLMs (LC) surpass RAG in long-context understanding, RAG is significantly more cost-efficient. Our approach, SELF-ROUTE, com-bining RAG and LC, achieves comparable performance to LC at a much lower cost.图1:虽然长上下文LLMs(LC)在长上下文理解方面超越了RAG,但RAG...
Extrapolation. On language modeling, DCA marks a significant advance for training-free approaches. It first shows that LLMs with a 4k context window can be ex-panded to more than 32k without training, maintaining a negligible increase in PPL, whereas previous methods typically falter at context ...
Large Language Models (LLMs) operate with a defined limit on the number of tokens they can process at once, referred to as thecontext window. Exceeding this limit can have significant cost and performance implications. Therefore, it is essential to manage the size of the input sent to the ...
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 exten...
Despite being bi-directional, BERT’s understanding is limited to 512 tokens within a context window Its legacy version will be discontinued after January 31, 2025 BERT pricing BERT is open-source and freely available under the Apache 2.0 license. ...
The SantaCoder models are 1.1B parameter models trained on subsets of Python, Java, and JavaScript code from The Stack. The main model employs Multi Query Attention with a context window of 2048 tokens and was trained using filtering criteria based on near-deduplication and comment-to-code ratio...
Additional navigation options main BranchesTags Code Folders and files Name Last commit message Last commit date Latest commit History 7 Commits data patch README.md main.py prompt.py retrieve_attn.py This is the official repo for "Extending LLMs' Context Window with 100 Samples".Preprint ...
Adapting Context Window: 并行上下文窗口(Parallel context window):当模型需要处理的文本长度超出原始上下文窗口时,可以采用将长序列切分为多个小片段,并对每个片段独立应用自注意力机制。这种方式允许模型同时关注到文本的不同部分,通过信息聚合或跳过连接的方式在片段之间传递和融合信息。 Λ-shaped context window(Lambda...