机器翻译 | Prompting Large Language Model for Machine Translation: A Case Study论文翻译 题目: 机器翻译的提示大语言模型:一个案例研究 摘要 对提示的研究表明,在很少甚至没有监督训练的情况下,提示在许多任务中表现出色。然而,文献中对机器翻译的提示还没有充分的研究。本文对翻译提示策略进行了系统的研究,考察...
(15)Self-Instruct: Aligning Language Model with Self Generated Instructions(2022) 由 Wang, Kordi, Mishra, Liu, Smith, Khashabi, Hajishirzi等人撰写: 指导微调(instruction finetuning)是我们从类似于GPT-3的预训练基础模型到像ChatGPT这样更强大的LLM的方式。而像databricks-dolly-15k这样的开源人工生成指令数...
Systems, methods, and computer program products for machine translation are provided. In some implementations a system is provided. The system includes a language model including a collection of n-grams from a corpus, each n-gram having a corresponding relative frequency in the corpus and an ...
Monash University researchers show that large language models can do real-time machine translation and propose new ways for model fine-tuning.
Large language models in machine translation. In Proceed- ings of the 2007 Joint Conference on Empirical Methods in Nat- ural Language Processing and Computational Natural Language Learning (2007), EMNLP-CoNLL '07, pp. 858-867.T. Brants, A. C. Popat, P. Xu, F. J. Och, and J. Dean...
内容提示: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and ComputationalNatural Language Learning, pp. 858–867, Prague, June 2007. c ?2007 Association for Computational LinguisticsLarge Language Models in Machine TranslationThorsten Brants Ashok C. Popat ...
translation models usually depend on. Our approach consists of two fine-tuning stages: initial fine-tuning on monolingual data followed by subsequent fine-tuning on a small set of high-quality parallel data. We introduce the LLM developed through this s...
API Integration: If your LLM serves as a language model backend, create RESTful APIs or GraphQL endpoints to allow other software components to interact with the model seamlessly. Scalability and Performance: Design applications to handle different levels of traffic and demand. Optimize for performance...
Towards Effective Disambiguation for Machine Translation with Large Language Models Vivek Iyer, Pinzhen Chen, Alexandra Birch 2023 Connecting Speech Encoder and Large Language Model for ASR Wenyi Yu, Changli Tang, Guangzhi Sun, Xianzhao Chen, T. Tan, ...
Seq2Seq is a deep learning approach used for machine translation, image captioning and natural language processing. It was developed by Google and underlies some of their modern LLMs, including LaMDA. Seq2Seq also underlies AlexaTM 20B, Amazon's large language model. It uses a mix of encoder...