Learn how to add automated text generation to your no-code/low-code apps, without writing any code, and without a GPT-3 license! We use Eleuther.ai’s GPT-Neo-2.7B (2.7 billion parameters) model, an open-source generative language model inspired by Open AI’s GPT-3 architecture. We access GPT-Neo via HuggingFace’s Accelerated Inference API, and we build the front-end in Bubble.io. You can get started with all of these tools for free!
[timestamps coming soon]
Tools used in the tutorial:
Eleuther GPT-NEO-2.7B –
HuggingFace Accelerated Inference API –
Bubble –
If you like this content, let us know! Leave a comment if there is a specific API, integration, or machine learning application you would be interested in seeing more about.
Thanks for watching!
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twitter – @LaunchableAI –
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Skip to 14:07 – probably all you need … thanks for making it, but it is very difficult to hear your voice.
Do you have tutorial with doing simple blog intro? using NLPclouid
Thanks for making this video this is exactly what I need
Best video covering this. Still waiting for a service/platform that handles the ugly database and API stuff. Who *knew, having beta access who be so useless for laymen like me lol
I absolutely loved this video thank you for making it !! I have already shared your channel to a lot of my colleagues
I have a quick questions is it possible to create an Ai chatbot where there is a two way communication with both text and voice using gpt-Neo/gpt-6j that can resemble Elon musk if I was to fine tune model and I have a 3D render how could everything be incorporated together and can it all be brought together to make something functional on bubble.io?
This was a very informative video. Thanks for making this. I have a question – can we train the model further for a particular use case – like writing an email or a Facebook ad copy – within this bubble app you created?