Learn GPT-3 prompting, API deployment on AWS Lambda and build full-stack app using Bubble Nocode development tool
Last updated 2/2023
Created by Ramsri Golla
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 22 Lectures ( 3h 58m ) | Size: 1.33 GB
What you'll learn
Learn GPT-3 prompting and parameters
Build a paraphraser using GPT-3 playground
Convert GPT-3 prompt to API and deploy using AWS Lambda
Build a fullstack app using Bubble nocode builder
Requirements
Good python programming experience is necessary.
Description
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
Who this course is for
Python developers who want to learn GPT-3 and build full-stack apps
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