ChatGPT and Prompt Engineering With Advanced Data Analysis - Whisper AI

The video tutorial introduces Whisper, a tool by OpenAI for transcription and translation. It covers the setup of the coding environment using Google Colab, installation of the Whisper library, and demonstrates the process of uploading files and transcribing them. The tutorial also discusses the languages supported by Whisper and their respective error rates, highlighting the tool's capabilities and current limitations.

What is the primary function of Whisper AI?

• Image processing

• Web development

• Transcription and translation

• Data encryption

Which language has the lowest error rate in Whisper AI?

• Spanish

• Hindi

• English

• Italian

What fraction of Whisper's audio dataset is non-English?

• One-third

• One-fourth

• Half

• Two-thirds

What is the first step to set up the development environment in Google Colab?

• Install Python

• Log into Gmail

• Connect to the internet

• Download Whisper AI

Which command is used to install Whisper AI in the development environment?

• brew install whisper

• pip install whisper

• npm install whisper

• apt-get install whisper

What is the purpose of the 'Choose Files' option in the transcription process?

• To delete files

• To select files for transcription

• To download files

• To rename files

Which model is used for transcribing English audio files in Whisper AI?

• Tiny

• Large

• Medium

• Base