fatihcelikbas

How about open-source models like Flan-T5? What stops you from using them in your own cloud account or better on-prem?

Here is the Reddit post on FAQify. It includes a demo video as well: https://www.reddit.com/r/GPT3/comments/yrrpnc/i_created_a_fa...

Thank you!

You can condition the prompt to make it say 'I don't know' etc. which is what we actually did too. Give it a try with a random question.

P.S. This is meant to be integrated to individual vendors' websites so the data we will get from will be much more detailed, making answers much more to the point

ProductHunt launch: https://www.producthunt.com/products/chart

Detailed demo of the product: https://www.youtube.com/watch?v=q-LgHZUI5nI&t=499s

There is also a guided tour for first time users on the app as well.

The landing page will be added shortly. In the mean time, here is a demo of the app itself: https://www.youtube.com/watch?v=q-LgHZUI5nI&t=499s

and the PH launch with screenshots: https://www.producthunt.com/products/chart

We are very sorry but this is a dashboard using HTML canvas api so it's very hard to work with on a small screen.

Hello everyone! I'd like to share an MVP of an idea I've been working for the last 2 months. It's the first functional version of the product but I'd appreciate greatly if you could try it out and give feed back here.

Here is a brief introduction / user manual for the app.

Chart is a drag and drop canvas for fast prototyping backend architectures. Micro-service oriented architectures are always an afterthought and very costly to migrate to later. Chart enables companies to start with a service oriented approach from the very beginning by making it easy to design a backend visually on a collaborative canvas.

Instead of designing system architectures on a white board, users can drag and drop curated list of open source services or empty templates for custom services on a canvas. They can connect services to each other just by drawing a line between them and Chart automatically configures them with the necessary client libraries and API secrets. Once the design is done, users can set the whole backend live with a click of a button and Chart provisions the necessary cloud resources behind the scenes. Later on, users can load test the architecture with mock requests.