Skip to main content

Build AI Apps with ChatGPT, DALL-E, and GPT-4 – Full Course for Beginners


Curriculum for the course Build AI Apps with ChatGPT, DALL-E, and GPT-4 – Full Course for Beginners

This course will teach you how to build AI-powered apps with the ChatGPT, Dall-E and GPT-4 APIs. Go here to try the interactive browser-version: https://scrimba.com/learn/buildaiapps ✏️ This course was created by Tom Chant, a teacher at Scrimba. If you have any feedback to Tom, please reach out to him on Twitter here: https://twitter.com/tpchant Also, follow Scrimba on YouTube here: https://www.youtube.com/c/Scrimba We recommend that you learn basic HTML, CSS, and JavaScript before taking this course. Here are two free courses that will get you up to speed: 🔗 HTML & CSS: https://scrimba.com/learn/htmlandcss 🔗 JavaScript: https://scrimba.com/learn/learnjavascript ⭐️ Code ⭐️ 🔗 Download via Scrimba: https://scrimba.com/learn/buildaiapps 💫 Links mentioned in course: 🔗 GPT-4 waiting list: https://scrimba.com/links/gpt4-waitlist-openai 🔗 OpenAI Home: https://scrimba.com/links/openai 🔗 OpenAI Docs: https://scrimba.com/links/openai-docs-intro 🔗 OpenAI Completions endpoint docs: https://scrimba.com/links/openai-completions-docs 🔗 GPTTools.com model comparison: https://scrimba.com/links/open-ai-comparison-tool 🔗 OpenAI Playground: https://scrimba.com/links/open-ai-playground 🔗 Dall-E: https://scrimba.com/links/dall-e-openai 🔗 OpenAI endpoint compatibility table: https://scrimba.com/links/chatgpt-endpoint-compatibility 🔗 GPT-4 Chatbot conversation object format: https://scrimba.com/links/chatgpt-object-format 🔗 Data used to fine-tune We-Wingit Chatbot: https://scrimba.com/links/we-wingit-data-csv 🔗 Firebase home: https://scrimba.com/links/firebase-home 🔗 Firebase .val() method: https://scrimba.com/links/firebase-val-method 🔗 Object.values MDN: https://scrimba.com/links/object-dot-values 🔗 Netlify: https://scrimba.com/links/netlify-home ⭐️ Contents ⭐️ 0:00:00 Introduction 0:01:19 Course Intro 0:04:56 MoviePitch intro 0:07:53 The Boilerplate 0:11:26 Getting an OpenAI API Key 0:13:32 Getting info for fetch request 0:15:14 Building an OpenAI fetch request 0:20:23 The first AI fetch request 0:26:41 Models 0:30:18 Tools 0:34:03 Refactor to use dependency l - env variable 0:38:11 Refactor to use dependency ll - The dependency 0:41:07 Refactor to use dependency lll - update fetchReply 0:44:40 Take out of Scrimba 0:46:45 Personalising the message 0:53:04 Tokens 0:57:09 fetchSynopsis 1:03:44 Aside - few shot approach 1:10:45 Aside - few shot approach ll 1:13:42 Refactor fetchSynopsis 1:21:00 Architecture 1:23:23 Title and Temperature 1:31:52 Reaching for the stars 1:37:52 Aside - createImage 1:46:56 fetchImagePrompt 1:54:21 Displaying the image and finishing off the UX 2:03:16 OutroKnowItAll: GPT-4 Chatbox2:06:47 KnowItAll Intro 2:09:40 Starter Code 2:13:10 Aside: How ChatGPT models work for chatbots 2:18:24 Conversation and instructions 2:20:21 Add user input to conversation array 2:23:06 The createChatCompletion endpoint 2:24:38 The model and object 2:28:46 Render the output, update the array 2:33:37 Aside: Theory: Frequency and presence penalties 2:37:07 presence_penalty practice 2:38:36 frequency_penalty practice 2:44:54 The chatbot’s personality 2:47:06 Firebase Intro 2:48:27 Firebase Account and database set up 2:50:43 Firebase dependency and database set up 2:55:53 Push method and instructions object 2:58:33 Update fetch Reply 3:02:24 Update fetchReply 2 3:04:49 Update the database 3:07:19 Render the conversation from the DB 3:12:02 The “start over” button 3:15:20 OutroWe-Wingit: Fine-tuned chatbot3:17:28 Intro to fine-tuning 3:20:04 Convert the Chatbot to We-Wingit 3:22:15 An Overview of the AI 3:23:52 Data for fine-tuning 3:26:34 The data we’re using 3:30:05 CLI 1 - Setting up the environment 3:33:03 CLI 2 - Data Preparation Tool 3:37:03 CLI 3 - Tuning the model 3:38:55 Updating the JS 1 3:41:33 Updating the JS 2 3:44:15 Updating the JS 3 3:47:01 The Separator 3:52:32 Aside - Stop Sequence 3:55:50 Adding the stop sequence 4:00:36 n_epochs 4:07:24 Intro to deployment 4:09:46 Download and GitHub 4:12:07 Netlify sign-up 4:13:56 Add Netlify env var 4:15:54 Netlify CLI 4:17:30 Netlify serverless function 1 4:19:52 Update fetchReply 4:24:28 Serverless function 2 4:27:30 Serverless function 3 4:29:21 Serverless function 4 4:32:32 Outro 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

Watch Online Full Course: Build AI Apps with ChatGPT, DALL-E, and GPT-4 – Full Course for Beginners


Click Here to watch on Youtube: Build AI Apps with ChatGPT, DALL-E, and GPT-4 – Full Course for Beginners


This video is first published on youtube via freecodecamp. If Video does not appear here, you can watch this on Youtube always.


Udemy Build AI Apps with ChatGPT, DALL-E, and GPT-4 – Full Course for Beginners courses free download, Plurasight Build AI Apps with ChatGPT, DALL-E, and GPT-4 – Full Course for Beginners courses free download, Linda Build AI Apps with ChatGPT, DALL-E, and GPT-4 – Full Course for Beginners courses free download, Coursera Build AI Apps with ChatGPT, DALL-E, and GPT-4 – Full Course for Beginners course download free, Brad Hussey udemy course free, free programming full course download, full course with project files, Download full project free, College major project download, CS major project idea, EC major project idea, clone projects download free

Comments

Popular posts from this blog

Fake CVR Generator Denmark

What Is Danish CVR The Central Business Register (CVR) is the central register of the state with information on all Danish companies. Since 1999, the Central Business Register has been the authoritative register for current and historical basic data on all registered companies in Denmark. Data comes from the companies' own registrations on Virk Report. There is also information on associations and public authorities in the CVR. As of 2018, CVR also contains information on Greenlandic companies, associations and authorities. In CVR at Virk you can do single lookups, filtered searches, create extracts and subscriptions, and retrieve a wide range of company documents and transcripts. Generate Danish CVR For Test (Fake) Click the button below to generate the valid CVR number for Denmark. You can click multiple times to generate several numbers. These numbers can be used to Test your sofware application that uses CVR, or Testing CVR APIs that Danish Govt provide. Generate

How To Iterate Dictionary Object

Dictionary is a object that can store values in Key-Value pair. its just like a list, the only difference is: List can be iterate using index(0-n) but not the Dictionary . Generally when we try to iterate the dictionary we get below error: " Collection was modified; enumeration operation may not execute. " So How to parse a dictionary and modify its values?? To iterate dictionary we must loop through it's keys or key - value pair. Using keys

How To Append Data to HTML5 localStorage or sessionStorage?

The localStorage property allows you to access a local Storage object. localStorage is similar to sessionStorage. The only difference is that, while data stored in localStorage has no expiration time untill unless user deletes his cache, data stored in sessionStorage gets cleared when the originating window or tab get closed. These are new HTML5 objects and provide these methods to deal with it: The following snippet accesses the current domain's local Storage object and adds a data item to it using Storage.setItem() . localStorage.setItem('myFav', 'Taylor Swift'); or you can use the keyname directly as : localStorage.myFav = 'Taylor Swift'; To grab the value set in localStorage or sessionStorage, we can use localStorage.getItem("myFav"); or localStorage.myFav There's no append function for localStorage or sessionStorage objects. It's not hard to write one though.The simplest solution goes here: But we can kee