Sequence to Sequence Learning with Neural Networks 摘要 深度神经网络(DNNs)是强大的模型,已在困难的学习任务上取得了出色的表现。尽管当有大量标记的训练集可用时,DNNs表现良好,但它们不能用于将序列映射到序列。在本文中,我们提出了一种通用的端到端序列学习方法,该方法对序列结构的假设最小化。我们的方法使用多...
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation (https://arxiv.org/abs/1406.1078) Sequence to Sequence Learning with Neural Networks (https://arxiv.org/abs/1409.3215) Neural Machine Translation by Jointly Learning to Align and Translate (https://arxiv.org...
Seq2seq损失也使用交叉熵损失,但它计算的是源序列和目标序列之间的差异,而不仅仅是预测下一个词。模...
A high-throughput and memory-efficient inference and serving engine for LLMs - vllm/vllm/sequence.py at main · kimwoonggon/vllm
一个request请求通常对应一个或者多个序列,在vllm中,使用Sequence来表达一个序列,同一个请求中的所有序列构成了一个序列组,用SequenceGroup来表达。尽管它们本身并不难懂,但是涉及到了序列的状态标记(是WAITING还是FINISHED)、所处阶段(是Prefill还是Decode)以及对应的逻辑块Logical blocks等等。理解它们,对后续分析vllm调...
OpenNLPLab NeurIPS2023 论文简读 微信公众号[OpenNLPLab] 回复 “NeurIPS23” 获取完整PPT 论文地址:https://arxiv.org/pdf/2311.04823v1.pdf 开源代码:https://github.com/OpenNLPLab/HGRN 开源模型:https://huggingface.co/OpenNLPLab 知识 科学科普 ...
Just for fun, I decided to post my solution. I had an identity column in my table and I wanted to find missing invoice numbers. I reviewed all the examples I could find but they were not elegant enough. CREATE VIEW EENSkippedInvoicveNo AS SELECT CASE WHEN MSCNT = 1 THEN CAST(MSFIRST...
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Large language models (LLMs) such as GPT-3 can answer open-domain questions without access to external knowledge or any task-specific training examples. However, LLMs are prone to hallucinate (Bang et al., 2023), while using a convincing and confident tone. This may cause s...
目前海外最前沿大模型都在搞什么?Long sequences,即长序列。传说中的GPT-5、 谷歌 的Gemini、Claude的下一代,有一个共同的训练目标,就是更长的上下文。即便目前GPT-4 turbo升级到了128k,Claude-2 200k,就连国内Baichuan-2也发布了192k,但似乎在他们看来,还远远不够