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[해외 프롬프트 강의] 요약노트 모음

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이 문서는 인공지능 구루 앤드류응과 마이크로소프트의 프롬프트 강의 영상을 요약노트로 정리해 모아둔 페이지입니다. 요약노트는 모두 Lilys AI로 제작되었습니다.
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Prompt Engineering full course for Developers | Andrew Ng | Isa Fulford
Prompt Engineering for Developers: Learn from the Founders of OpenAI How to Use Prompts to Control AI Chatbots: A Course by OpenAI Master Prompt Engineering with This Free Course from OpenAI and DeepLearning.AI In this video, we'll take a look at the prompt engineering course by the founders of OpenAI. This course will teach you how to use prompts to control AI chatbots and get them to produce the desired results. We'll cover everything from the basics of prompt engineering to advanced techniques for creating effective prompts. In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications. Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply impossible before now. This short course taught by Isa Fulford Member of Technical Staff, OpenAI and Andrew Ng founder of DeepLearning.AI will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including: 1. Summarizing (e.g., summarizing user reviews for brevity) 2. Inferring (e.g., sentiment classification, topic extraction) 3. Transforming text (e.g., translation, spelling & grammar correction) 4. Expanding (e.g., automatically writing emails) In addition, you’ll learn two key principles for writing effective prompts, how to systematically engineer good prompts, and also learn to build a custom chatbot. All concepts are illustrated with numerous examples, which you can play with directly in our Jupyter notebook environment to get hands-on experience with prompt engineering. #prompt #promptengineering #prompterchallenge #programming #developer #chatgpt #ai #openai #trending #technology #trendingvideo #coding #course #courses #prompts #developers
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Visual Prompting Livestream With Andrew Ng
Try out Visual Prompting today at https://landing.ai And join the conversation in the Landing AI community at community.landing.ai/c/visual-prompting/ [About Visual Prompting Livestream] The traditional AI modeling workflow requires multiple steps: (i) finding and labeling data, (ii) training a model, and then (iii) making predictions. In contrast, text interfaces like ChatGPT have a dramatically simpler process where a user can give a text prompt saying what they want, and get an answer quickly. This has revolutionized NLP (natural language processing). Traditional AI: Label→ Train → Predict (taking days/months) Prompting based AI: Prompt → Predict (taking minutes/seconds) In this livestream presentation, Andrew Ng will share some early thoughts – and present Landing AI’s results – on generalizing this concept from text to computer vision, so that users can input a simple Visual Prompt (that indicates a few things on an image) and quickly get a result. Meta’s SAM model is one example of Visual Prompting, applied to image segmentation of individual images. In the next few years, Andrew expects that Visual Prompting tools will make computer vision much more accessible, just as text prompting has for NLP. Join Andrew to discuss: * Lessons from NLP (transformers and large language models) for computer vision (vision transformers, foundation vision models) * Visual Prompting as a fast, easy and natural way to have a vision-based interaction * Live demo * Implications of prompting on machine learning project lifecycle * Live Q&A
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