OpenAI APIs for Developers: ChatGPT, Embeddings & Whisper

سرفصل های دوره

Text Completion, ChatGPT API, Prompt Engineering, Fine Tuning, Embeddings, Whisper, DALL-E and Real World Applications

1. Introduction

1. Welcome and Course Introduction

2. Getting Ready

1.1 requirements.txt

1. Setting up Dev Environment

2. Setting up OpenAI Account and API Key

3. Making your first OpenAI API Request

1. Setting up a Playground - Jupyter Notebook

2. Making a Completion Request

3. Making a Chat Completion Request (ChatGPT API)

4. API Response Structure

1. Breaking down the API Response Structure

5. Tokens

1. Understanding and Computing Tokens

6. Building Your Own ChatGPT

1. Code up and Build Your Own ChatGPT

7. Prompt Engineering

1. Prompt Engineering Key Principles

2. Giving Clear and Explicit Instructions

3. Getting Output In Specific Formats

4. Zero Shot and Few Shot Prompting

8. Fine Tuning

1. Introduction to Fine Tuning - What and Why

2.1 Download raw data from Kaggle.html

2.2 tweets.csv

2. Preparing Dataset for Fine Tuning

3. Fine Tuning an OpenAI Model

4. Fetching and Checking Validation Results

5. Inferencing and Evaluating Fine Tuned Model on Test Data

9. Embeddings

1. What are Embeddings

2. How are Embeddings useful

3. Making your first OpenAI Embeddings Request

4. Vector Indices and Databases

5. Creating a Vector Index

6. Creating a Vector Database

7. Building a Document Search Application

10. DALL-E

1. Generating new Images and Variations of Images

11. Whisper

1. Making your first OpenAI Whisper Request

2. Transcribing a segment of an Audio

3. Building a Youtube Summarization Application

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تولید کننده: Udemy-Training