The GitHub repository "leetcode-mafia/cheetah" is described as a Whisper and GPT-based app that helps users to "crush remote SWE interviews". It is a public repository that has gathered over 2.4k stars and 155 forks.

The project is offered under the CC0-1.0 license, and it has been updated recently, with the latest commit done on April 26, 2023. The text in the GitHub page doesn't explain the functionality or how-to-use the app; however, it is likely aimed at software engineers and provides support for technical problem-solving during remote interviews.

The app's use of Whisper and GPT in its description indicates that the application may use audio or audio-like features, alongside Generative Pre-trained Transformer or GPT for natural language processing.

However, it is not entirely clear what this app truly does or how it works, and while the repository lists a few issues and pull requests, there does not appear to be any discussions or resources available to learn more.

Overall, it seems like a promising tool for software engineers, but its current lack of explanation may make users hesitant to explore its benefits.

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Cheetah AI was manually vetted by our editorial team and was first featured on April 29th 2023.

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Pros and Cons

Pros

Uses Whisper for transcription

Utilizes GPT-4 for responses

Provides live coding assistance

Real-time, discreet coaching

Focuses on SWE interviews

Incorporates local audio transcription

Open-source on GitHub

Large community engagement (2.4k stars)

Recent updates (as of April 2023)

Designed for macOS platform

Offers integration with coding platforms

Transcribes audio in real-time

Analyze and logs coding environment

Browser extension support (Firefox)

CC0-1.0 License

SWIFT, C, C++ languages used

Features an audio input selector

Buttons for answer generation

Suggestions refining feature

Option for solution analysis

Allows custom portion refining

Functional with optimal performance on M1 or M2 Macs

Cons

Audio driver setup needed

Optimized for M1/M2 Mac

Debug mode slows performance

Only compatible with Firefox

No support for other browsers

Supplies only an 'Answer', 'Refine', 'Analyze' functionality

Only recent commit information

Serves only software engineers

Limited live coding platform integration

Q&A

What is the Cheetah AI tool?

Cheetah AI is an AI-powered macOS application designed to assist users during remote software engineering interviews. The tool provides real-time, discreet coaching and integrates with live coding platforms for enhanced performance.

What are the key features of Cheetah AI?

Cheetah AI offers key features such as real-time audio transcription, dynamic generation of hints and solutions, interaction with live coding environments, and seamless integration with the user's browser through an extension. It tailors its responses based on the audio conversation by leveraging Whisper and GPT-like capabilities for real-time analysis and offers features to refine or analyze the provided solutions.

What is the target audience for Cheetah AI?

Cheetah AI is primarily targeted at software engineering professionals and job seekers preparing for remote software engineering interviews. The tool is tailor-made to help them enhance their problem-solving skills, answer complex technical questions effectively, and perform well in live coding tests.

What does Cheetah AI do to assist during remote software engineering interviews?

During remote software engineering interviews, Cheetah AI provides real-time, discreet coaching. It transcribes the ongoing conversation, generates hints and solutions for the questions asked, and integrates with live coding platforms to assist with coding-related tasks. This helps users improve their performance in the interview.

How does Cheetah AI work?

Whisper, a tool for real-time audio transcription, captures the ongoing conversation during an interview. Then, it leverages Generative Pre-trained Transformer (GPT) for natural language processing to analyse the transcription and generate potential hints or solutions. The tool needs an OpenAI API key for optimal functioning.

How does Cheetah AI use Whisper and GPT in its functioning?

Cheetah AI utilizes Whisper for real-time audio transcription. It captures the ongoing conversation and analyses this transcription using GPT for creating potential hints or solutions. Thus, through these two technologies, Cheetah AI can understand queries and respond in an intelligent way that aids users throughout their interviews.

Is Cheetah AI an open-source tool?

Yes, Cheetah AI is an open source tool. It is hosted on GitHub under the CC0-1.0 license, and is open for contributions from the development community.

Can I use Cheetah AI tool without an OpenAI API key?

Cheetah AI requires an OpenAI API key for generating hints and solutions. If the user does not have access to GPT-4, GPT-3.5-turbo may be used as an alternative.

What are the prerequisites for using the Cheetah AI tool?

The prerequisites for using Cheetah AI are macOS 13.1 or later, and a key for OpenAI's GPT API.

Is there an audio setup required for Cheetah AI?

Yes, for Cheetah AI to work optimally, it is advised that the audio input captures both sides of the conversation. Users can achieve this with an audio loopback driver like BlackHole for video chat apps like Zoom or Google Meet.

Does the Cheetah AI tool provide real-time coaching?

Yes, Cheetah AI provides real-time coaching. As soon as a question is asked during an interview, the system transcribes it, analyses it, and generates potential hints, solutions, or relevant points the user may wish to include in their response.

What updates have been made recently to Cheetah AI?

The most recent update listed for Cheetah AI is dated April 26, 2023. The specifics of the updates aren't detailed on their website, but it shows continuous development and maintenance.

Are there any known issues with Cheetah AI?

IDK

Is there support provided for technical issues related to Cheetah AI?

IDK

What does the Cheetah AI browser extension do?

The Cheetah AI browser extension enables analysis and logging of code from the live coding environment in the user's web browser. This feature requires the extension to function.

How do I install the Cheetah AI browser extension for Firefox?

To install the Cheetah AI browser extension for Firefox, users need to add the domain of the live coding platform to matches in./extension/manifest.json, go to about:debugging, click 'This Firefox', 'Load Temporary Add-on', and select ./extension/manifest.json.

What is the CC0-1.0 license under which Cheetah AI is offered?

The CC0-1.0 license under which Cheetah AI is offered is a type of public domain licensing agreement. This lets people freely use, modify and distribute the software without any restrictions.

Why does the Cheetah AI tool need my audio input?

Cheetah AI uses audio input to capture the conversation during software engineering interviews in real-time. This input is then transcribed, analysed, and used to generate pertinent hints or solutions to the questions.

What sort of tasks would be suitable for the Cheetah AI tool?

Tasks that would be suitable for the Cheetah AI tool include practicing and preparing for software engineering interviews, solving technical problems in real-time, and learning to refine and articulate responses to technical questions.

Is there a community or discussion forum for Cheetah AI users?

IDK