包阅导读总结
1. 关键词：
– Generative AI、Non-Technical、Course、LLM、Potential
2. 总结：
本文介绍了 freeCodeCamp.org YouTube 频道新发布的关于生成式 AI 的非技术入门课程。由 Abdul 开发，课程涵盖多方面内容，包括 AI 的过去与现在对比、生成式 AI 可能性的原因等，对不同层级的 LLM 应用等做了探讨，最后展望了其未来潜力，时长 90 分钟。
3. 主要内容：
– 非技术生成式 AI 课程介绍
– 适合人群：程序员和新手
– 开发者：Abdul from 1littlecoder
– 课程概述
– 快速介绍生成式 AI
– 对比 AI 的过去和现在
– 探讨生成式 AI 现在可行的原因
– 涉及较少为人知的方面
– 讨论去中心化 AI 和 LLM APIs
– 介绍不同层级的 LLM 应用
– 探索大型语言模型操作系统的潜力
– 课程章节
– 生成式 AI 快速介绍
– AI：过去与现在
– 为何生成式 AI 现在可行
– 生成式 AI 鲜为人知的方面
– 什么是去中心化 AI
– LLM APIs
– LLM 应用框架
– 文本补全
– 聊天机器人
– RAG：带知识的 LLM
– LLM 用于下游 NLP 任务
– 基于 LLM 的 AI 代理
– 大型语言模型操作系统
– 课程获取
– 平台：freeCodeCamp.org YouTube 频道
– 时长：90 分钟
思维导图：
文章地址：https://www.freecodecamp.org/news/a-non-technical-introduction-to-generative-ai/
文章来源：freecodecamp.org
作者：Beau Carnes
发布时间：2024/6/18 15:39
语言：英文
总字数：273字
预计阅读时间：2分钟
评分：90分
标签：AI,教育,YouTube,生成式AI,非技术性
以下为原文内容
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If you want to learn about the concepts around generative AI without getting bogged down with the technical details, we have a great course for you. We just published a course on the freeCodeCamp.org YouTube channel that is a non-technical intro to generative AI. This course offers a broad exploration of generative AI, making it accessible to both programmers and newcomers alike. Abdul from 1littlecoder developed this course.
Course Overview
The course begins with a quick introduction to generative AI, followed by a comparison of AI’s past and present. You’ll learn why generative AI is possible now, and explore some lesser-known aspects of the technology.
Abdul discusses the concept of decentralized AI and examine LLM (Large Language Model) APIs. You’ll gain a systemic understanding of different levels of LLM applications, including Q&A systems, chatbots, RAG (Retrieval-Augmented Generation) solutions, and how large language models can be used for downstream natural language processing tasks and the development of intelligent AI agents.
Finally, the course explores the potential of large language model operating systems, providing a comprehensive look at where generative AI has been, where it is now, and its future implications.
Course Sections
Here are the sections covered in this course.
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Generative AI Quick Intro
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AI: Then vs. Now
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Why Generative AI is Possible Now
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The Lesser-Known Aspects of Generative AI
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What is Decentralized AI?
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LLM APIs
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LLM Application Framework
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Text Completion
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Chatbots
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RAG: LLM with Knowledge
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LLM for Downstream NLP Tasks
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AI Agents Based on LLMs
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Large Language Model Operating Systems
Check out the full course on the freeCodeCamp.org YouTube channel and start your journey into the fascinating realm of generative AI (90-minute watch).
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