3 ms·

Since everyone seems to be avoiding direct answers, I have a few ideas: 1. Open source the free, lower quality models (I.e. fewer epochs trained) but sell perp

Since everyone seems to be avoiding direct answers, I have a few ideas: 1. Open source the free, lower quality models (I.e. fewer epochs trained) but sell perpetual licenses to higher quality ones. 2. API access to high quality pre-trained models. Similar to OpenAI, but code would be open source. 3. Licensed access to a Databricks/Collab-esque style development environment. Jupyter is great, but once they establish a big enough community and enough killer features, they could adopt paying users. 4. ML Ops infrastructure as a service for enterprise 5. Consulting

option 4y ago
4 alone is obviously a 1B+ business in the next 5 years
- prepend 4y ago
  I think that anyone will have a hard time competing with AWS and Azure in this space (although it will be a $1B+ business).
  - jerpint 4y ago
    You can run HF on sagemaker, they're not necessarily competing
joshcryer 4y ago
One of the draws to use Hugging Face is because the open source community is giving those trained models away. What they are doing is permitting people to use those models affordably (something like a million words would be $10 if I recall correctly, you need to spend $10k minimum to run GPT-Neo-x in your bedroom just to print out one prompt). I'm not saying these are bad ideas but they need to more focus on their friendly front end and clean API access. There will be a DALL-E 2-Neo-x in a few months. People are going to want to run it without being limited by OpenAI's terrible interface.