This app includes 3 custom smart pickers for Nextcloud:
- ChatGPT-like answers
- Image generation (with DALL·E 2 or LocalAI)
- Whisper dictation
It also implements
- A Translation provider (using OpenAI's gpt-3.5-turbo)
- A SpeechToText provider (using Whisper)
Instead of connecting to the OpenAI API for these, you can also connect to a self-hosted LocalAI instance.
Negative:
- the software for training and inference of this model is proprietary, limiting running it locally or training by yourself
- the trained model is not freely available, so the model can not be run on-premises
- the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model's performance and CO2 usage.
Negative:
- the software for training and inference of this model is proprietary, limiting running it locally or training by yourself
- the trained model is not freely available, so the model can not be run on-premises
- the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model's performance and CO2 usage.
Negative:
- the software for training and inferencing of this model is proprietary, limiting running it locally or training by yourself
- the trained model is not freely available, so the model can not be ran on-premises
- the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.
Positive:
- the software for training and inferencing of this model is open source
- The trained model is freely available, and thus can run on-premise
Negative:
- the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.
Positive:
- the software for training and inferencing of this model is open source
- the trained model is freely available, and thus can be ran on-premises
- the training data is freely available, making it possible to check or correct for bias or optimise the performance and CO2 usage.
Positive:
- the software for training and inferencing of this model is open source
- the trained model is freely available, and thus can be ran on-premises
Negative:
- the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.
Positive:
- the software for training and inferencing of this model is open source
- the trained model is freely available, and thus can be ran on-premises
Negative:
- the training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.
Learn more about the Nextcloud Ethical AI Rating in our blog.
There is a "Connected accounts" admin settings section to set your OpenAI API key.