Kickstart Using GPT-4, DALL-E, Whisper With Python

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This course is provided by Big Data Trunk for Stanford Technology Training Program but a limited few seats available to the public.

Students of this class may have opportunity to be considered for Internship with Big Data Trunk.

Description:

Building AI models to generate text, images and translating or transcribing audio is a daunting task for any organization. In this Kickstart Using GPT-4, DALL-E, Whisper With Python course, unleash the power of AI by using OpenAI’s python APIs including GPT-4, DALL-E and Whisper API's. In this course, you will get a deep understanding of using the generative models and integrating them in your applications . Master GPT-4 API for natural language processing including text generation, summarization, translation and more. Use GPT-4 API to write code from scratch, debug code and improve code. Learn how to generate visually stunning images based on text prompts using DALL-E , an OpenAI’s image generation API. Apply Whisper API to transcribe or translate audio files.

Learning Objectives:

After this course, you will have the opportunity to:

• Develop a understanding of using OpenAI’s generative models using python
• Understanding different API endpoints
• Learn how to debug code, improve code and even write code from scratch using API
• Generate interesting images using the DALL-E API
• Convert Audio into transcriptions and translation using powerful Whisper API

Prerequisites: Must have some python programming experience.

Audience:This course is designed for software developers who are curious about using AI and are interested in adding OpenAI’s generative models in their workflows with the help of python API.

Course Outline:Introduction to OpenAI Models

• Brief history of OpenAI
• Overview of OpenAI’s models: GPT-4, DALL-E, and Whisper
• Signing up for a developer’s developer account
• Hands-on: Sign up for a developer account

Getting started with OpenAI Python API

• Using API key
• Generating first completion request
• Understanding Tokens, MAX_TOKENS
• Stop sequences, N and Echo
• Hands-on lab with these topics

Important API Parameters

• Temperature Parameter
• Understanding Top P
• Frequency Penalty and Presence Penalty
• Streaming Responses
• Using Completion and Chat API
• Cost Estimation with TikToken
• Hands-on lab with these topics

Working with Code

• Use API to understand code and calculating time complexity
• Make GPT-4 find and fix code bugs
• Translate code from JavaScript to Python
• Generating code
• Hands-on lab with these topics

DALL-E – Image Generator

• What is DALL-E?
• Using DALL-E API to generate images
• Hands-on lab with DALL-E

Whisper – Audio to Text

• Introducing Whisper
• Translating and Transcribing with Whisper API
• Transcribing Non-English Audio
• Hands-on lab with these topics

Training material provided: Yes (Digital format)

Hands-on Lab: Instructions will be provided to install Jupyter notebook and other required python libraries. Students can opt to use ‘Google Colaboratory’ if they do not want to install these tools