虽然基于导数的算法对于各种问题都非常强大,但是缺乏梯度给许多现实世界的应用带来了挑战。在这项工作中,该论文提出了一种简单而有效的策略,即使用大型语言模型(LLM)作为优化器。在这个过程中,该论文通过自然语言描述了优化任务。在每个优化步骤中,LLM生成新的解决方案,这些解决方案包含先前生成并评估的解决方案。该论文...
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by Writings, Papers and Blogs on Text ModelsSeptember 25th, 2024 Too Long; Didn't ReadThis section introduces the meta-prompt specifically crafted for math optimization, focusing on its role in guiding large language models (LLMs) to generate enhanced solutions for various mathematical problems. Th...
In this work, we propose Optimization by PROmpting (OPRO), a simple and effective approach to leverage large language models (LLMs) as optimizers, where the optimization task is described in natural language. In each optimization step, the LLM generates new solutions from the prompt that ...
Training LLMs efficiently at scale necessitates various system innovations, such as statesharding optimizers [79], meticulous model placement using data, pipeline, and tensor parallelisms [67, 68, 113]. 数据准备。初始阶段涉及收集和预处理训练数据,可分为两部分:(1) 预训练数据,包括从公共或私人...
(but only in favorable contexts);politicianswill want the presentation of their agendas to be tailor-made for different audiences’ concerns and biases. Just as companies hire SEO consultants today, they will hire large-language-model optimizers to ensure that LLMs incorporate these preferences in ...
Yang, C. et al. Large language models as optimizers. In12th International Conference on Learning Representations(ICLR, 2023). Zheng, C., Zhou, H., Meng, F., Zhou, J. & Huang, M. On large language models’ selection bias in multi-choice questions. In12th International Conference on Learn...
Chen, “Large language models as optimizers,” arXiv preprint arXiv:2309.03409, 2023. [14] E. Meyerson, M. J. Nelson, H. Bradley, A. Moradi, A. K. Hoover, and J. Lehman, “Language model crossover: Variation through few-shot prompting,” arXiv preprint arXiv:2302.12170, 2023. ...
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yuqing Yang ICLR 2024|September 2023 Publication 下载BibTex ...
Large Language Models as Optimizers Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen. [abs]. Preprint 2023.09. Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, ...