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 ...
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...
In this paper, we present our solutions to train an LLM at the 100B-parameter scale using a growth strategy inspired by our previous research [78]. “Growth” means that the number of parameters is not fixed, but expands from small to large along the training progresses. Figure 1 illustrat...
Once we have efficiently incorporated relative position information inside our model, the most straightforward way to increase the context window L of our LLM is by fine-tuning with position interpolation (PI) [3]. It is a simple technique that scales tokens' position to fit the new context ...
Context window:128,000 Access:API OpenAI's Generative Pre-trained Transformer (GPT) models kickstarted the latest AI hype cycle. There are two main models currently available:GPT-4o and GPT-4o mini. Both are also multimodal models, so they can also handle images and audio. All the differen...
14.LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens 15.From Text to CQL: Bridging Natural Language and Corpus Search Engine 16.$\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens 17.Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent 18.GC...
We introduce 'Entropy-Aware ABF' that supports efficient context window extension of RoPE-based LLMs with only 100 samples. The repository contains code and data to reproduce our model. Model and Data We release long-contextLlama-2-7b-chatextended with our method trained with different data amou...
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. ...
所以还有另一种实现方式ConversationBufferWindowMemory,它可以存储有限数量的对话交流。因此,它只会存储最后的k个迭代。 from langchain.memoryimportConversationBufferWindowMemory memory = ConversationBufferWindowMemory(k =1) memory.save_context({"input":"Hey, how are you? How was your weekend?"},{"output...
When working with large language models (LLMs) like GPT-3.5 or GPT-4, we face a limitation in the context window size. This means that we must carefully select the information to include, as the available space is limited by the model's token budget. ...