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Watch episodes 5-7 for the new stuff, but the whole series is really great.
https://www.youtube.com/watch?v=wjZofJX0v4M
David
David
Last activity 2024년 9월 18일

Did you know you can use Local LLMs with MATLAB?

Local large language models (LLMs), such as llama, phi3, and mistral, are now available in the Large Language Models (LLMs) with MATLAB repository through Ollama™!
Read about it here:
https://blogs.mathworks.com/deep-learning/2024/07/09/local-llms-with-matlab/
David
David
Last activity 2024년 9월 12일

Jokes in MATLAB

In case you haven't come across it yet, @Gareth created a Jokes toolbox to get MATLAB to tell you a joke.
https://www.mathworks.com/matlabcentral/fileexchange/172039-jokes-in-matlab/
David
David
Last activity 2024년 8월 8일

Visual PDE

A library of runnable PDEs. See the equations! Modify the parameters! Visualize the resulting system in your browser! Convenient, fast, and instructive.
Visit https://visualpde.com/explore.html
David
David
Last activity 2024년 4월 18일

AI Models Are Improving Every Year

How long until the 'dumbest' models are smarter than your average person? Thanks for sharing this article @Adam Danz
https://sherwood.news/tech/how-do-ai-models-stack-up-vs-humans-on-standardized-benchmarks/
I created an ellipse visualizer in #MATLAB using App Designer! To read more about it, and how it ties to the recent total solar eclipse, check out my latest blog post:
https://www.davidyding.com/navPages/Ellipse
Github Repo of the app (you can open it on MATLAB Online!):
https://github.com/dvfire123/EllipseVisualizer/tree/main
David
David
Last activity 2024년 4월 2일

Ghost page

I feel like no one at UC San Diego knows this page, let alone this server, is still live. For the younger generation, this is what the whole internet used to look like :)
http://www-pord.ucsd.edu/matlab/
David
David
Last activity 2024년 4월 1일

Prompts Matter

I was in a meeting the other day and a coworker shared a smiley face they created using the AI Chat Playground. The image looked something like this:
And I suspect the prompt they used was something like this:
"Create a smiley face"
I imagine this output wasn't what my coworker had expected so he was left thinking that this was as good as it gets without manually editing the code, and that the AI Chat Playground couldn't do any better.
I thought I could get a better result using the Playground so I tried a more detailed prompt using a multi-step technique like this:
"Follow these instructions:
- Create code that plots a circle
- Create two smaller circles as eyes within the first circle
- Create an arc that looks like a smile in the lower part of the first circle"
The output of this prompt was better in my opinion.
These queries/prompts are examples of 'zero-shot' prompts, the expectation being a good result with just one query. As opposed to a back-and-forth chat session working towards a desired outcome.
I wonder how many attempts everyone tries before they decide they can't anything more from the AI/LLM. There are times I'll send dozens of chat queries if I feel like I'm getting close to my goal, while other times I'll try just one or two. One thing I always find useful is seeing how others interact with AI models, which is what inspired me to share this.
Does anyone have examples of techniques that work well? I find multi-step instructions often produces good results.
David
David
Last activity 2024년 3월 26일

Pi Day conspiracy

A bit late. Compliments to Chris for sharing.
David
David
Last activity 2024년 7월 15일

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We are working on a new translation experience for the MathWorks website and products. The goal is to make it easy for people to see content in the best language for them.
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MathWorks Language and Translation Survey
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