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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-gpt-3-and-build-an-ai-saas-with-bubble/
课程评论：没有评论
课程名称：学习GPT-3并使用Bubble构建AI SaaS 课程概述：本课程将带您深入了解GPT-3，包括在游乐场中撰写提示，并使用AWS基础设施将其转换为API。您将学习如何使用诸如Bubble等无代码工具构建完整的文本释义应用程序。 课程前提：假设学员具备较强的Python编程能力和基本的人工智能知识，之前有使用亚马逊网络服务（AWS）的经验将是有帮助的。 课程内容将从理解GPT-3及其可调参数入手，帮助您生成所需输出。我们将创建一个用于句子释义的提示，结合少量示例，并扩展到如何并行调用GPT-3 API来一次性释义多个句子，从而构建一个通用的文本释义器。接下来，我们将学习如何将游乐场中的GPT-3提示转换为Google Colab中的代码，并进一步将该代码转换为基于AWS Lambda无服务器架构的API。我们将使用AWS SAM（无服务器应用程序模型）来简化API的编码和部署过程。最后，课程将指导您使用Bubble无代码工具为我们的提示创建用户界面，并整合之前创建的API。此外，我们还将探讨如何在数据库中存储用户操作记录并使用Bubble进行流量控制。 该课程适合希望掌握GPT-3及其应用开发的学习者，特别是在AI SaaS领域。
In this course, you will learn about GPT-3, writing prompts in the playground, and converting them into an API using AWS infrastructure.You will also see how to build a full-stack text paraphraser app using no-code tools like BubblePrerequisites:Strong Python programming skills with basic knowledge of AI are assumed.Previous experience with Amazon Web Services (AWS) is helpful. We will begin by understanding GPT-3 and its various parameters that you can modify to get the desired output.We will create a prompt to do sentence paraphrasing using few-shot examples. We will extend it to see how to parallely call the GPT-3 API to paraphrase multiple sentences at once to build general text paraphraser. Later we will see how we can convert the GPT-3 prompt in the playground to code in Google colab.We will further convert the code in Google Colab to API using AWS Lambda serverless infrastructure. We will use AWS SAM (serverless application model) to make it easy to code and deploy our APIs easily. Finally, we will create a UI for our prompts using Bubble no-code tool, integrating the APIs we created earlier.We will also see how to store user runs in database and throttle usage using Bubble
