It's DA, bringing you some exciting updates from the world of AI. Today, I'm thrilled to introduce the latest upgrade to ChatGPT – the Code Interpreter! ??
This extraordinary plugin is designed to serve as an extraordinary bridge between human language and code, offering a suite of fascinating capabilities. At the heart of the Code Interpreter is a beautiful blend of natural language processing and machine learning, crafting an environment where you can run Python code, upload or download files, and much more – right within a chat. It opens doors to a myriad of applications spanning sectors like education, software development, finance, healthcare, and gaming. ??
Let's dive deeper into the unique and creative uses of this amazing tool that I've either experimented with or observed:
- Animated Transition Master: Ever wanted to create a seamless animation that morphs one image into another? With the Code Interpreter, you can upload two images and watch as it generates an intriguing transition animation. Ideal for crafting animated GIFs, unique visual content, or just having some fun.
- Data-driven Video Strategist: The Code Interpreter shines when it comes to data analysis. Take a CSV file with YouTube data, upload it, and let the tool dissect the information, offering recommendations for future videos. It's like having your personal data scientist for content optimization.
- Code Translation Guru: Imagine uploading a JS file from GitHub, and within seconds, having a detailed explanation of the code in plain English. It's perfect for both budding developers trying to understand complex code, and seasoned coders seeking a quick understanding of new code scripts.
- Data Correlation Detective: If you're trying to find connections between different datasets, the Code Interpreter is your best friend. Upload multiple CSV datasets and let the tool find correlations, unveiling hidden patterns. A must-have for marketers and researchers.
- Media Conversion Alchemist: With the Code Interpreter, transforming a video file into an animated GIF is a breeze. It's a handy way to create eye-catching, shareable content for your social media platforms.
- QR Code Producer: Need a quick QR code from a URL? The Code Interpreter can do that for you. It's an excellent tool for digital marketers, making it effortless to connect users to websites or social media profiles.
- Visual Lexicographer: The Code Interpreter can generate a visual word cloud from a dataset, helping you visually comprehend how often certain terms appear. Ideal for marketers and writers looking to spot trends or popular terms in their industry.
- Visualisation Maestro: Bring your data to life in colorful, 3D visualisations from CSV files. Whether you're presenting complex data sets or trying to understand them yourself, this feature makes it engaging and easy to understand.
- Code Improvement Inspector: You can now assess HTML, CSS, or JS code for potential improvements or vulnerabilities. This feature is a lifesaver for developers aiming to optimize their code and enhance security.
With this array of innovative applications, the Code Interpreter truly broadens the horizons of creativity.
In other news, my book 'Creativity DOT AI' dives into the intriguing interface of AI and creativity. If you've loved exploring the Code Interpreter, you'll be captivated by the discussion on how AI is revolutionizing the landscape of creative pursuits. Grab your copy for a compelling voyage into the future of creativity! ??
Operations Manager in a Real Estate Organization
5 个月Well shared. In contrast to explainable models, Interpretable AI models enable quantitative understanding of how features influence model output, aiding in identifying biases and providing insights. Over 40 techniques have been developed to interpret AI/ML models, which are crucial in domains where interpretability is mandated (e.g., healthcare and finance). Christoph Molnar's book covers many of these techniques in detail. Surrogate models provide a practical approach that involves training an interpretable model using predictions from a highly accurate but unexplainable black-box model. Model-agnostic techniques, applicable to any AI model, offer flexibility in partially interpreting the unexplainable models. Five key model-agnostic global techniques include Partial Dependence Plot, Permutation Feature Importance, Individual Conditional Expectation, Local Interpretable Model-agnostic Explanations (LIME), and Shapley values (SHAP). These techniques contribute to understanding complex AI models, offering some transparency and adherence to regulations. However, substantive research is required to make these techniques more versatile. More about this topic: https://lnkd.in/gPjFMgy7
Author / Senior Lecturer-Western Sydney University / Fellow AIB / Senior Lecturer-IATC
1 年For Constructors and Construction Educators, here is our 5-page analysis and application of Davenport and Miller's 'Working with AI' https://www.dhirubhai.net/posts/matt-stevens-4867b45_ai-book-analysis-activity-7084486909904781314-mbeB?utm_source=share&utm_medium=member_desktop