Released a tutorial video to build an AI chat application using ChatGPT API using Skeet
Released a tutorial video to build an AI chat application using ChatGPT API using Skeet
ELSOUL LABO B.V. (head office: Amsterdam, Netherlands) has released a tutorial
video on YouTube on building an AI chat app using the ChatGPT API with the
full-stack serverless framework Skeet.
Let's create your original AI Chat App
ChatGPT, which is currently a hot topic, allows you to create your own original
AI chat application by using the API.
It can also be customized for you and your organization, so there are many ways
to use it.
Also, it is expected that application development using AI will become popular
in the future, so please take this opportunity to catch up.
As you progress through the Skeet tutorial, you can create your AI chat app,
deploy it on the cloud, and publish the service.
Skeet Tutorial (YouTube):
What kind of apps can you create? Let's imagine using the demo AI chat app.
Skeet is a full-stack serverless framework that lets you build auto-scaling apps
on top of Firebase.
Until now, releasing applications and publishing services required the
preparation of application code and servers, and the construction and management
of servers, in particular, was costly.
The serverless environment provided by Google Cloud and Firebase eliminates the
need for this server construction and management. All server infrastructure
automatically scales with user usage, eliminating the need for detailed access
forecasting and load management resource management.
Skeet can build and manage these serverless products with one command for
developing iOS, Android, and web apps. So Skeet developers can immediately start
working on the application logic. And the deployment of the written app is
guaranteed.
With Skeet, you can quickly build and release applications leveraging OpenAI's
ChatGPT API.
We have released the app as a demo after completing the Skeet tutorial.
Skeet Demo AI Chat App: https://skeeter.app/
Like this demo, Skeet has everything you need to develop and publish an
application, such as authentication and database usage that applications
generally do.
TypeScript is used for both the back-end and front-end, but Python can also be
used as a backend for each function if necessary, so it can be used when machine
learning is required.
We believe that many useful apps will be created using Skeet, and we will
continue to develop and improve the Skeet framework.
Experience new app development
You can immediately develop and publish web, iOS, and Android apps.
With the Skeet tutorial, you can actually build an AI chat app like this demo
and have it ready to ship.
We would appreciate it if you could try it.
Skeet Tutorial: https://skeet.dev/en/doc/backend/quickstart/
