Awesome-Chatgpt-Code-Interpreter-Experiments

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awesome-chatgpt-code-interpreter-experiments is an Open Source & Models tool that showcases advanced uses of ChatGPT's Code Interpreter. It provides experiments and jailbreaks to push the limits of the AI.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is awesome-chatgpt-code-interpreter-experiments?

awesome-chatgpt-code-interpreter-experiments is an open-source repository dedicated to exploring and pushing the boundaries of what's possible with ChatGPT's Code Interpreter. It offers a collection of experiments, pro tips, and 'jailbreaks' that demonstrate how to overcome common limitations, such as installing external Python packages, running non-Python code like Deno, and even integrating complex models like YOLOv8 for object detection. The repository also covers practical applications like face detection and tracking in videos, image classification using MNIST, and OCR for text extraction. It serves as a valuable resource for developers and AI enthusiasts looking to unlock the full potential of the Code Interpreter.

Best used for

Ideal for AI researchers and developers who need to explore the advanced capabilities of ChatGPT's Code Interpreter, bypass its limitations, and integrate complex AI models. Especially valuable for those looking to conduct experiments in computer vision, data analysis, and language processing within a sandboxed environment.

Common actions

experiment with AI

bypass AI limitations

explore AI capabilities

integrate AI models

perform data analysis

face swappinggithub copilotautomated workflowlow-code/no-code"AI Agents"collaborationworkflowsopen-sourcedeepfake

Capabilities

Key features

Install external Python packages
Run Deno JavaScript apps
Integrate YOLOv8 object detector
Detect/track faces in video
Classify MNIST images
Extract text using OCR
Bypass Code Interpreter limitations

Target Audience

developersai enthusiastsmachine learning engineersresearchers

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the primary goal of awesome-chatgpt-code-interpreter-experiments?

The primary goal is to push the ChatGPT + Code Interpreter combo to its limits, showcasing what's possible and inspiring creativity. It provides a collection of experiments and techniques to explore advanced functionalities and overcome inherent restrictions.

Can I install external Python packages using these experiments?

Yes, the repository provides detailed steps and 'jailbreaks' to install external Python packages, even though Code Interpreter typically restricts internet access and direct package installation. This involves uploading .whl files and instructing ChatGPT to install them.

What kind of computer vision tasks can be performed with these experiments?

The experiments demonstrate various computer vision tasks, including running YOLOv8 for object detection, detecting and tracking faces in videos using Haar Cascade, and classifying images from the MNIST dataset. It also covers using OCR to extract text from images.

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Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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