In the example below, we prompt ChatGPT to create five functions as part of a factor-based equities investment strategy and score each function on our five-point scale. For slightly higher accuracy, we would also construct a prompt for the system to “ensure packages exist, ensure all code ...
随着AI的普及,掌握AI相关技能的人才将变得炙手可热。 Prompt Engineering(提示词工程):✨ 成为专业的“提示词工程师”,掌握如何与AI大模型有效沟通,撰写出高质量、高效率的提示词,以获得最佳输出。企业对这一技能的需求日益增长。 AI模型训练与微调:🔬 如果你对数据和机器学习有兴趣,可以学习如何对开源AI模型进...
编程:comment 2 code。结合 GitHub Copilot 如何加速日常的编程活动。 总体来说,AI 相当于美国队长的实力,遇强则强,遇弱则弱,关键其实在于 Prompt。所以,如何更好地完善 prompt,实现 prompt 工程就是:如何更好地使用 AI 的基础。 Prompt 是一种文本输入方式,用于与自然语言处理模型(例如GPT)进行交互。Prompt 是...
Prompt: You are an expert at system design and architecture. Tell me how to design a [system]. The technology stack is [comma-separated list of technologies]. 提示:您是系统设计和架构的专家。告诉我如何设计一个[系统]。技术堆栈是[逗号分隔的技术列表]。 Example: You are an expert at system ...
ChatGPT discussing the future of AI in software development. Want to test ChatGPT or GitHub Copilot for yourself? Check out: https://chat.openai.com/ https://github.com/features/copilot Published December 12, 2022 Reading time 5 min ...
GitHub Copilot and ChatGPT are no longer the only games in town. Some coding assistants, such as Tabnine, actually preceded the recent buzz of using LLMs to generate code. In addition, other coding-specific LLMs have been developed that promise an improved ability to securely fine-tune the...
AI 能力来控制用户桌面的能力，其中最有可能的就是通过集成在 Windows 操作系统中的 Copilot 来实现。
Module 1: Introduction to Prompt Engineering Understanding the fundamentals of Prompt Engineering. Impact of Prompt Engineering in Data Analysis. Overview of AI, NLP and language models. Generative AI. Module 2: Foundations of Prompt Design. Key concepts and components of prompts. General principles ...
Write a short inspiring poem about OpenAI, focusing on the recent DALL-E product launch (DALL-E is a text to image ML model) in the style of a {famous poet} 2.2 Prompt 最好简洁易懂,并减少歧义 这个比较好理解,即使你跟人说话,说一些简单的短句,对方也会更容易听懂,AI 也是这样。另外,在 p...
而GPT-3涌现出的in-context learning能力(现在其他大模型也有,比如Google的PaLM,同时不确定GPT-3是第一个涌现的,希望得到指正)和上述范式有本质不同,“过往的fine-tuning”需要更改模型参数,也就是说,换了个新模型。但是in-context learning, 模型并没有变化,却能在新数据上表现更好。研究甚至发现,你给大模型一...