Let’s Build a Custom GPT-3 AI Application

Huntabyte

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In this video, we cover how to build and deploy your own AI application using SvelteKit, OpenAI’s GPT-3 Model and APIs, and Vercel Edge Functions.

📁 Starting Code: https://github.com/huntabyte/elif-ai/tree/starter-code
📁 Final Source Code: https://github.com/huntabyte/elif-ai

OpenAI Playground: https://platform.openai.com/playground
OpenAI Tokenizer: https://platform.openai.com/tokenizer
SSE.js: https://www.npmjs.com/package/sse.js
SvelteKit Config Docs: https://kit.svelte.dev/docs/adapter-vercel#deployment-configuration

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💬 Discord: https://hbyt.us/discord
🐦 Twitter: https://hbyt.us/twitter
🖥️ Setup Stuff: https://hbyt.us/gear

Chapters:
00:00 – What We’re Building
00:20 – Exploring the prompt
03:05 – OpenAI API Key
03:30 – Building the endpoint
10:10 – Install sse.js
10:40 – sse.js TypeScript Setup
11:40 – Building the client-side page
17:40 – Testing It Out
18:42 – Configure For Edge Function Deployment
20:05 – Deploy to Vercel

📃 Topics Covered:
– SvelteKit Streaming
– SvelteKit AI App
– SvelteKit Vercel Edge Functions
– Vercel Edge Functions
– Vercel AI App
– OpenAI Node App
– OpenAI WebApp
– GPT-3
– text-davinci-003 model
– OpenAI Completions