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We are excited to announce the first edition of the MathWorks AI Challenge. You’re invited to submit innovative solutions to challenges in the field of artificial intelligence. Choose a project from our curated list and submit your solution for a chance to win up to $1,000 (USD). Showcase your creativity and contribute to the advancement of AI technology.
Watch episodes 5-7 for the new stuff, but the whole series is really great.
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:
How long until the 'dumbest' models are smarter than your average person? Thanks for sharing this article @Adam Danz
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.
Unlike last year's contest, there are some new technologies this year that might offer some advantages. Namely generative AI's like ChatGPT, Bard, etc. Not to be excluded, MathWorks just launched the AI Chat Playground :)
Hi all,
I am wondering whats the total cost to use MATLAB for algo trading. The transparent part is of coz the price of matlab and the toolboxes. But I was shocked to find out the APIs to connect to Interactive Brokers are not free (costly in fact!). Is there free API to connect to IB? What other hidden costs are there? I saw the X Trader in the Automated Trading with MATLAB video. Is this XTrader software part of MATLAB toolbox? Do we need to pay additional to Trading Technologies (to use X_Trader). Also what data feed is the most cost effecient? Is there any additional hidden cost that I am not aware of?
Thanks!
The contest development team has identified an issue when trying to link your new entries to submissions in the File Exchange. The issue has prevented some users from successfully linking their entries. We have a fix and will be deploying it today at 3pm EST.
We operate roughly 600 data loggers on Think Speak where there are roughly 150 gateways and each gateway communicates with a node. Our channels are labeled node# - gateway number and each number is 16 diigits. We have not found a wildcard search function so must have each number exactly right or we cannot find our channel. In some cases we wish to query a gateway and see which nodes are successfully communicating with it.
