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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-tutorial/
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课程名称：生成性人工智能入门 课程概述：本课程是学习生成性人工智能概念的实用指南，包括以下内容：大型语言模型、标记化、词向量和嵌入、微调大型语言模型、Langchain、提示工程概念以及使用OpenAI API。近年来，人工智能领域取得了令人难以置信的进展，其中一个备受关注的领域是生成性人工智能。这项尖端技术有望彻底改变我们创建和互动各种数字内容的方式。 那么，生成性人工智能到底是什么呢？从根本上说，它是指可以生成新数据的AI模型，而不仅仅是分析现有数据。这可能包括生成文本、图像、音频、视频、计算机代码等，通常只需用户提供的基本提示或输入。该技术之所以强大，是因为其用户友好性日益提升。您只需描述一个场景或概念，AI模型便会生成高质量的数字内容，几乎就像魔法一样！ 1. 人工智能：这是一个广泛的术语，涵盖了机器模仿人类智能的整体目标，包括下棋、诊断疾病、作曲等多种应用。 2. 机器学习：机器学习（ML）是人工智能的一个子集，它使机器能够从数据中学习，而无需明确编程，通过大量数据识别模式并随时间改善性能。 3. 深度学习：深度学习是机器学习的高级形式，使用复杂的人工神经网络，灵感来源于人类大脑。这是许多人工智能突破性进展的秘密武器，能够实现强大的图像和语音识别。 4. 生成性人工智能：这是AI世界中的一个新兴领域，它利用机器学习创建全新内容，从作曲到生成高度逼真的图像，无所不能，但也在某些情况下产生了深度伪造技术。 加入这个课程，探索生成性人工智能的令人兴奋的世界，掌握如何利用这些技术创造和互动数字内容！
This course is a practical guide to learning Generative AI concepts:- Large Language Models- Tokenization, Word Vectors and Embeddings- Fine tuning LLMs- Langchain- Prompt Enginnering concepts- Using OpenAI APIThe field of artificial intelligence has seen incredible advances in recent years, with one area gaining significant traction - generative AI. This cutting-edge technology is poised to revolutionize how we create and interact with all kinds of digital content.So, What exactly is generative AI? At its core, it refers to AI models that can generate new data, rather than just analyzing existing data. This could include generating text, images, audio, video, computer code, and more - often starting from just a basic prompt or input from a user. What makes this technology so powerful is how user-friendly it is becoming. You can simply describe a scene or concept, and the AI model generates high-quality digital content in response - almost like magic!1. Artificial Intelligence:This prime spot is reserved for just plain AI. It's a broad term, the overarching goal: machines that mimic human intelligence. That includes everything from playing chess to diagnosing diseases, from composing music to writing this blog.2. Machine Learning:Machine Learning (ML), a subset of AI. It's where the magic of learning from data happens. ML algorithms don't need explicit programming - they gobble up data, identify patterns, and improve their performance over time.3. Deeper and Deeper: When ML Gets Fancy - Deep LearningThis is ML on steroids, using complex artificial neural networks loosely inspired by the human brain. Deep learning is the secret sauce behind many of AI's recent breakthroughs, allowing for crazy-powerful stuff like image and speech recognition.4. Generative AIThis is the elephant baby of the AI world or the rebellious teenager with a paintbrush. It uses machine learning to create entirely new content, from composing electronic dance music symphonies to generating hyperrealistic images of, well, anything you can imagine (including, unfortunately, deepfakes so convincing they'd make our grandma believe the orange cats can dance).
