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Building AI Apps with the OpenAI API: GPT, DALL-E & Whisper
Introduction
Byte FAQ
Exercise: Meet Your Classmates and Instructor
Byte Resources
Welcome!
Introduction (3:12)
Setting Up Jupyter Notebook (14:14)
Deep Dive into Chat Completions API
Creating an OpenAI Account and an API Key (3:51)
Installing OpenAI API Authenticating to OpenAI (8:41)
OpenAI Models (6:35)
Making GPT Requests Using OpenAI API (11:19)
System Role (4:17)
OpenAI API Costs (3:52)
Tokens (4:02)
Chat Completion API Parameters: Temperature and Seed (6:13)
Chat Completion API Parameters: Top P, Max_Tokens, Penalties (9:49)
The Playground (9:51)
How OpenAI GPT Models Work (5:15)
LLMs Issues and Limitations (6:21)
Explore GPT-4o's Vision Capabilities
Introduction to GPT-4o (8:02)
Using Local Base64 Images as Input (6:43)
Using Online Images as Input (2:04)
Prompt Engineering Tactics for OpenAI APIs
Intro to Prompt Engineering (2:40)
Tactic 1: Position Instruction Clearly with Delimiters (4:12)
Tactic 2: Provide Detailed Instructions for the Context (6:37)
Tactic 3: Use the Rich Text Format (RTF) (7:45)
Tactic 4: Few Shot Prompting (8:12)
Tactic 5: Specify the Steps Required to Complete a Task (5:16)
Tactic 6: Give Models Time to Think (2:12)
Other Tactics and Principles for Better Prompting (5:37)
Avoid Hallucinations Using Guarding (3:06)
Summary (2:06)
Deep Dive into Image Generation API (DALL-E 2 & 3)
Generating Original Images Using the DALL-E (10:33)
Creating Variations of Images with DALL-E (3:04)
Editing Images with DALL-E (5:39)
Deep Dive into Speech Recognition and Text-to-Speech (TTS) API
Transcriptions with Whisper (5:47)
Translations with Whisper (3:11)
Text-to-Speech (TTS) API (7:02)
Project: Building a Healthy Daily Meal Plan
Project Introduction (2:31)
Creating a Daily Meal Plan Using OpenAI API (5:38)
Creating the Prompt (8:42)
Running the Program (3:23)
Generating Original Images for the Recipes using DALL-E (11:53)
Narrate the Meals using the Text-to-Speech Model (10:23)
Where To Go From Here?
Review This Byte!
Narrate the Meals using the Text-to-Speech Model
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