A Survey of Useful LLM Evaluation 来自 arXiv.org 喜欢 0 阅读量: 5 作者:JL Peng,S Cheng,E Diau,YY Shih,PH Chen,YT Lin,YN Chen 摘要: LLMs have gotten attention across various research domains due to their exceptional performance on a wide range of complex tasks. Therefore, refined ...
a survey on evaluation of llmsa survey on evaluation of llms中文翻译 a survey on evaluation of llms翻译成中文意思为:远程学习管理系统评价研究综述。©2022 Baidu |由 百度智能云 提供计算服务 | 使用百度前必读 | 文库协议 | 网站地图 | 百度营销 ...
这篇综述总结了关于通用LLM基准和评估方法的关键信息,涵盖了知识、推理、工具学习、毒性、真实性、稳健性和隐私等方面。 这篇综述工作显著扩展了两篇关于LLM评估的最新综述(A survey on evaluation of large language models和Trustworthy llms: a survey and guideline for evaluating large language models’ ...
此文高度总结LLM,并把LLM综述文章里提到的常用技术部分展开介绍。 背景(什么是LLM Large language Model) 一句话:超大规模训练数据量训练出来的超大规模参数量的模型,模型的能力也由量变上升到质变。量变:参…
背景:OpenAI最近放出了Devday的闭门会视频,其中"A Survey of Techniques for Maximizing LLM Performance"(精进大型语言模型性能的各种技巧)是非常有价值的,本文对这次分享做摘要。 视频:https://www.youtube.com/watch?v=ahnGLM-RC1Y&ab_channel=OpenAI ...
本文是对《A Survey of Large Language Models》的翻译与解读,重点关注大语言模型(LLMs)的挑战、发展历程及其在现代计算领域的应用。我们将通过四个阶段来探讨LLMs的演进,并讨论它们如何重塑人工智能的未来。
LLM优化: 模型需要如何行动(采取什么方法) 优化流程 经典流程从Prompt engineering开始: 有了prompt,对输出进行一致评估:这是context问题还是LLM行动问题? 需要更多相关上下文 -> RAG; 需要更一致的指令遵循 -> Fine-tuning; 或者两者兼有。 有了prompt,创建评估,找到基线; ...
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review arXiv 13 Apr 2023 Paper A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation arXiv 19 May 2023 Paper Tricking LLMs into Disobedience: Understand...
A Survey of LLM Surveys Large language models (LLMs) are making sweeping advances across many fields of artificial intelligence. As a result, research interest and progress in LLMs have exploded. There are now hundreds of research papers on LLMs published in various conferences or posted to ope...
Furthermore, it explores the multifaceted future frontiers of LLMs, discussing potential advancements, ethical considerations, societal implications, and emerging challenges. By unraveling the detailed workings of LLMs, this study provides a thorough understanding of applications and the vast potential they...