Hey all, I wanted to share with you this cool platform for developers that lets you build conversational AI apps in a matter of hours.
At Dasha we use communication between applications written in weakly-typed and strong-typed languages. For example, TypeScript and C#. Sometimes we need to pass typed messages from TS to C#. This is usually a problem. And here's how we solve it.
Why is Dasha unique?
* Even a non-developer can build a demo app in less than 2 hours.
* We have our own intuitive programming language - DashaScript. It's an event-driven language intended to describe a conversation script.
* We created Dasha Studio, an extension to VSCode. You use the studio to create your conversational script, it gives you syntax analysis and highlight. There's also a visual graph editor.
* Dasha CLI that lets you log in and get your API key that you can then use to execute conversational AI apps, and get diagnostic information about current usage, queues, and limits on Dasha Cloud Platform side.
* Dasha Cloud provides conversational AI as a service, which means that you don’t need to be a machine learning engineer to use machine learning when building Dasha conversational apps.
* We use GRPC for communication between SDK and the Dasha Cloud
Hey all, I wanted to share with you this cool platform for developers that lets you build conversational AI apps in a matter of hours. Even a non-developer can build a demo app in less than 2 hours.
And now we've made Dasha understand emotional overtones!
Why is Dasha unique?
* We have our own intuitive programming language - DashaScript. It's an event-driven language intended to describe a conversation script.
* We created Dasha Studio, an extension to VSCode. You use the studio to create your conversational script, it gives you syntax analysis and highlight. There's also a visual graph editor.
* Dasha CLI that lets you log in and get your API key that you can then use to execute conversational AI apps, and get diagnostic information about current usage, queues, and limits on Dasha Cloud Platform side.
* Dasha Cloud provides conversational AI as a service, which means that you don’t need to be a machine learning engineer to use machine learning when building Dasha conversational apps.
You can create apps for free, so give it a try: https://dasha.ai/en-us/ (just click on "API key" button and we'll provide you one so you can start building)
At Dasha we use communication between applications written in weakly-typed and strong-typed languages. For example, TypeScript and C#. Sometimes we need to pass typed messages from TS to C#. This is usually a problem. And here's how we solve it.
Why is Dasha unique?
* Even a non-developer can build a demo app in less than 2 hours.
* We have our own intuitive programming language - DashaScript. It's an event-driven language intended to describe a conversation script.
* We created Dasha Studio, an extension to VSCode. You use the studio to create your conversational script, it gives you syntax analysis and highlight. There's also a visual graph editor.
* Dasha CLI that lets you log in and get your API key that you can then use to execute conversational AI apps, and get diagnostic information about current usage, queues, and limits on Dasha Cloud Platform side.
* Dasha Cloud provides conversational AI as a service, which means that you don’t need to be a machine learning engineer to use machine learning when building Dasha conversational apps.
* We use GRPC for communication between SDK and the Dasha Cloud