Integrating Superluminal into your dashboard is now easier than ever with our new React component. Check out our 5 minute tutorial here! superluminal.dev/docs/#react-tu…#ai#data
We often use a technique called prompt routing to better optimize prompts for particular use cases, while increasing cost-effectiveness and improving performance. Read more about what it is and how it works here: getluminal.com/articles/promp…#AI#data#ChatGPT
Introducing... Superluminal AI 2.0
Our goal is to build the most powerful data AI in the world, and today we took a huge step in that direction.
Instead of using a fixed order of operations to complete a task, the Superluminal AI now iteratively picks what action to perform to…
Minimizing GPT-4 Cost
When you send GPT-4 a prompt, it doesn't see the individual characters—it only sees tokens. While perhaps unintuive at first, understanding tokens well is key to optimizing prompt speed & cost. We've built a free online tool to do just that.
Read more at:…
Optimizing GPT-4 Response Time
A key aspect of building production-level AI data interaction is performance. Specifically, how long it takes to get a response from the model you're using. At Superluminal, we use GPT-4 for parts of our stack. And though it's extremely powerful,…
Introducing the Superluminal API!
In building Superluminal Lab, our natural language data interaction platform, we came to realize that although impressive looking demos are everywhere, building production-quality AI data interaction is hard.
And we discovered that many other…
Beat our online Swift coding challenge and get a $75 reward!
Know a great software engineer using Swift? Have them beat the challenge and earn $25 for you + $75 for them.
getluminal.com/challenge
At Luminal, we wanted to use a modern, strongly typed, performant language for the application core. We also wanted cross-platform UI and the ability to run in the browser.
So we built (the world's first?) Swift ↔ Electron IPC.
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