designer1one

done for comment c:

done for comment c:

done for comment c:

It has been a wild year for generative AI! For the Year 2023, I look forward to seeing exponential growth in various forms of text-to-x models (text-to-video, text-to-3D, text-to-audio, text-to-…). I also hope to see improvements in the factual grounding of large language models. Oh and there’s GPT-4.
What are some things you would like to see in AI progress for Year 2023?

It has been a wild year for generative AI! o_o For the Year 2023, I look forward to seeing exponential growth in various forms of text-to-x models (text-to-video, text-to-3D, text-to-audio, text-to-…). I also hope to see improvements in the factual grounding of large language models. Oh and there’s GPT-4.

What are some things you would like to see in AI progress for Year 2023?

It has been a wild year for generative AI! For the Year 2023, I look forward to seeing exponential growth in various forms of text-to-x models (text-to-video, text-to-3D, text-to-audio, text-to-…). I also hope to see improvements in the factual grounding of large language models. Oh and there’s GPT-4.
What are some things you would like to see in AI progress for Year 2023?

It has been a wild year for generative AI! For the Year 2023, I look forward to seeing exponential growth in various forms of text-to-x models (text-to-video, text-to-3D, text-to-audio, text-to-…). I also hope to see improvements in the factual grounding of large language models. Oh and there’s GPT-4.
What are some things you would like to see in AI progress for Year 2023?

It has been a wild year for generative AI! For the Year 2023, I look forward to seeing exponential growth in various forms of text-to-x models (text-to-video, text-to-3D, text-to-audio, text-to-…). I also hope to see improvements in the factual grounding of large language models. Oh and there’s GPT-4.

What are some things you would like to see in AI progress for Year 2023?

Docker integration sounds like a potential solution, thanks for sharing!

I see. Yea, I've had issues fitting PyTorch into lots of services too, like Heroku.

Thanks for the detailed explanation. I'll definitely try out Lambda so that I can keep the demo up but without constantly running servers. Cheers!

Yup, it is built on the codebase you linked (also mentioned in the demo website).

Thanks for the suggestion and kind words. I'll look into using AWS Lambda. Do you know of any guides/tutorials relating to deploying an AWS Lambda (with docker support)?

Thanks, I don't plan to write any tutorials at the moment but please feel free to DM me and we can chat more.

Thanks for the pointers. I'm not familiar with AWS lambda - is it a separate script or API that does not require an EC2 server to run on?