The OpenAI API: GPT, DALL-E & Whisper
3h 43m 36s
English
Paid
May 24, 2024
Learn to use the OpenAI API for chat completions, image generation, text-to-speech, and speech-to-text so that you can utilize AI technologies in your applications. Plus you'll build your own AI application for creating healthy daily meal plans.
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# | Title | Duration |
---|---|---|
1 | Introduction | 03:13 |
2 | Setting Up Jupyter Notebook | 14:15 |
3 | Creating an OpenAI Account and an API Key | 03:52 |
4 | Installing OpenAI API Authenticating to OpenAI | 08:42 |
5 | OpenAI Models | 06:36 |
6 | Making GPT Requests Using OpenAI API | 11:20 |
7 | System Role | 04:18 |
8 | OpenAI API Costs | 03:52 |
9 | Tokens | 04:03 |
10 | Chat Completion API Parameters: Temperature and Seed | 06:14 |
11 | Chat Completion API Parameters: Top P, Max_Tokens, Penalties | 09:50 |
12 | The Playground | 05:16 |
13 | How OpenAI GPT Models Work | 09:52 |
14 | LLMs Issues and Limitations | 06:22 |
15 | Intro to Prompt Engineering | 02:41 |
16 | Tactic 1: Position Instruction Clearly with Delimiters | 04:13 |
17 | Tactic 2: Provide Detailed Instructions for the Context | 06:38 |
18 | Tactic 3: Use the Rich Text Format (RTF) | 07:46 |
19 | Tactic 4: Few Shot Prompting | 08:13 |
20 | Tactic 5: Specify the Steps Required to Complete a Task | 05:17 |
21 | Tactic 6: Give Models Time to Think | 02:13 |
22 | Other Tactics and Principles for Better Prompting | 05:38 |
23 | Avoid Hallucinations Using Guarding | 03:07 |
24 | Summary | 02:07 |
25 | Creating Variations of Images with DALL-E | 03:05 |
26 | Generating Original Images Using the DALL-E | 10:34 |
27 | Editing Images with DALL-E | 05:40 |
28 | Transcriptions with Whisper | 05:48 |
29 | Translations with Whisper | 03:12 |
30 | Text-to-Speech (TTS) API | 07:03 |
31 | Project Introduction | 02:32 |
32 | Creating a Daily Meal Plan Using OpenAI API | 05:39 |
33 | Creating the Prompt | 08:43 |
34 | Running the Program | 03:24 |
35 | Generating Original Images for the Recipes using DALL-E | 11:54 |
36 | Narrate the Meals using the Text-to-Speech Model | 10:24 |
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