Learn to create diverse test cases using both intrinsic and extrinsic metrics and balance the performance with resource management for reliable LLMs.
近年来,大型语言模型(LLMs)在自然语言处理领域取得了显著进展,能够生成连贯的文本、回答事实性问题,并在一些简单推理任务中表现出色。然而,当面对需要复杂逻辑推理、迭代探索和验证的高级任务时,LLMs 的能力往往显得不足。这种局限性主要源于 LLMs 的信息处理方式——它们大多依赖于类似于人类“系统 1 思维”的快速...
Andrej Karpathy《大语言模型介绍|[1hr Talk] Intro to Large Language Models》中英字幕 59:48 谷歌《提示词基础课程|Google Prompting Essentials》中英字幕(deepseek 谷歌《AI基础知识(LLM、ChatGPT、Stable diffusion等)|Google AI Essentials》中英字幕 GPT中英字幕课程资源 1.2万 1 吴恩达《LLMs的函数调用和...
Before we dive into using large language models (LLMs), let's touch upon the different stages involved in creating these models. We’ll also discuss the capabilitiesRed Hat Enterprise Linux AI(RHEL AI) provides when it comes to working with LLMs. In order to get full ben...
We show that large language models (LLMs), such as ChatGPT, can guide the robot design process, on both the conceptual and technical level, and we propose new human–AI co-design strategies and their societal implications.doi:10.1038/s42256-023-00669-7Stella Francesco...
LLM-based chatbots are a lot more advanced than standard chatbots. In order to achieve better performance, they need to be trained using a much larger dataset. They also need to be able to understand the context of the questions that users ask. How does this work in practice?
OpenAI has released its first research into how using ChatGPT affects people’s emotional well-being We’re starting to get a better sense of how chatbots are affecting us—but there’s still a lot we don’t know. While we don’t know the inner workings of LLM...
启动效应指的是LLM倾向于在不属于它的上下文中不恰当地应用新学到的信息。例如,如果一个模型了解到“在Blandgive,香蕉的主要颜色是朱红色”,那么它可能会随后声称人的皮肤、沙子或其他不相关的物体也是朱红色。 这种行为不同于适当的学习,在适当的学习中,模型应该只在适当的上下文中应用新知识。研究人员通过测量适当...
Simply put, a large language model (LLM) is an advanced type of machine learning model designed to understand and generate human-like text. These models are trained on vast amounts of data from a variety of sources. These sources are not necessarily the most accurate, and in many cases, ...
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely 摘要 外部数据增强的大语言模型 (LLM) 在完成真实世界任务方面表现出令人印象深刻的能力。外部数据不仅增强了模型的领域专业知识和时间相关性,而且减少了幻觉的发生率,从而提高了输出...