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MATLAB AI Chat Playground - MATLAB Central
Use AI to generate initial draft MATLAB code, and answer questions!
Large Language Models (LLMs) with MATLAB
Connect MATLAB to Ollama™ (for local LLMs), OpenAI® Chat Completions API (which powers ChatGPT™), and Azure® OpenAI Services
Celebrating Spring: MATLAB Tulip
Joining us again is Eric Ludlam, development manager of MATLAB’s charting team. Discover more about Eric on our contributors bio page. Last time Eric was here, Daffodils were on his mind. Now, he focuses on tulips. Spring is here in Natick and the tulips are blooming! While tulips appear only briefly here in Massachusetts, they provide a lot of bright and
- Efficiency and Performance: MATLAB's built-in functions are highly optimized for performance. They are written in optimized and compiled languages like C or C++, which means they run faster than equivalent functions written directly in MATLAB language. When you use these functions, your code can execute more efficiently, which is especially beneficial for handling large datasets or complex mathematical computations.
- Reliability and Stability: Built-in functions have been rigorously tested and debugged by the developers at MathWorks (the company behind MATLAB). They are less likely to contain errors compared to custom-written code, which means you can rely on them to produce accurate and consistent results.
- Ease of Use: Built-in functions are designed to be user-friendly, with clear documentation and support materials available. This can make it easier to perform complex operations without needing a deep understanding of the underlying algorithms. It also reduces the amount of code you need to write and debug, saving time and reducing the potential for errors.
- Compatibility: Built-in functions are updated alongside MATLAB itself, ensuring compatibility with new features and versions of the software. Using built-in functions can help ensure that your code continues to work correctly as MATLAB evolves.
- Advanced Features: MATLAB’s built-in functions often include advanced features and options that are not readily available or would be difficult to implement on your own. For example, MATLAB’s mathematical functions can handle a wide range of special cases and data types, providing more flexibility than custom implementations.
- Community and Support: Using built-in functions means you're working with standard tools recognized by the MATLAB community. This can make it easier to get help from other users or from MathWorks support, as more people will be familiar with the functionality and potential issues of these functions.
MATLAB AI Chat Playground - MATLAB Central
Use AI to generate initial draft MATLAB code, and answer questions!
MATLAB Flipbook Mini Hack Gallery
What amazing animations can be created with no more than 2000 characters of MATLAB code? Vote on your favorite animations before Dec. 3rd. We will give out MATLAB T-shirts to 10 lucky voters!
- Project-Based Learning and Design with Simulation - Professor Claire Lucas, King’s College London
- How Siemens Energy Enables the Global Energy Transition - Jens Dietrich, Siemens Energy AG
- AI
- Autonomous Systems
- Electrification
- Robotics
- Dark mode / theme support - Change the colors of the desktop by selecting a dark theme.
- Updated layout - Quickly access tools and change your layout using the sidebar.
- Expanded search capabilities - Easily find actions, settings, and resources using the new universal search box.
- Figure toolstrip - Use the new figure toolstrip to easily modify annotations, text, and line styles, and view generated code.
- Keyboard and screen reader accessibility support - Use a screen reader to interact with the Command Window, Editor and desktop tools.
- Enhanced MATLAB Projects workflows - Collaborate using an improved user interface, manage multiple repositories using the Branch Manager, and investigate project hierarchies using the new Dependency Analyzer view.