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🩹 Use correct heading for PRIVACY.md
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PRIVACY.md
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In this `v0` of HuggingChat, we only store messages to display them to the user, not for any other usage (including for research or model training purposes).
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In a future version, we are considering exposing a setting for users to share their conversations with the model authors (here OpenAssistant) to improve their training data and their model over time. In other terms, model authors are the custodians of the data collected by their model, even if it's hosted on our platform.
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The goal of this app is to showcase that it is now (April 2023) possible to build an open source alternative to ChatGPT. 💪
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For now, it's running OpenAssistant's [latest LLaMA based model](https://huggingface.co/OpenAssistant/oasst-sft-6-llama-30b-xor) (which is one of the current best open source chat models), but the plan in the longer-term is to expose all good-quality chat models from the Hub.
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This app is running in a [Space](https://huggingface.co/docs/hub/spaces-overview), which entails that the code for this UI is open source: https://huggingface.co/spaces/huggingchat/chat-ui/tree/main.
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The inference backend is running [text-generation-inference](https://github.com/huggingface/text-generation-inference) on HuggingFace's Inference API infrastructure.
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[![open a discussion](https://huggingface.co/datasets/huggingface/badges/raw/main/share-to-community-xl.svg)](https://huggingface.co/spaces/huggingchat/chat-ui/discussions)
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- LLM watermarking
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- user setting to share conversations with model authors.
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# Privacy & About this app
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In this `v0` of HuggingChat, we only store messages to display them to the user, not for any other usage (including for research or model training purposes).
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In a future version, we are considering exposing a setting for users to share their conversations with the model authors (here OpenAssistant) to improve their training data and their model over time. In other terms, model authors are the custodians of the data collected by their model, even if it's hosted on our platform.
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## About available LLMs
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The goal of this app is to showcase that it is now (April 2023) possible to build an open source alternative to ChatGPT. 💪
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For now, it's running OpenAssistant's [latest LLaMA based model](https://huggingface.co/OpenAssistant/oasst-sft-6-llama-30b-xor) (which is one of the current best open source chat models), but the plan in the longer-term is to expose all good-quality chat models from the Hub.
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## Technical details
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This app is running in a [Space](https://huggingface.co/docs/hub/spaces-overview), which entails that the code for this UI is open source: https://huggingface.co/spaces/huggingchat/chat-ui/tree/main.
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The inference backend is running [text-generation-inference](https://github.com/huggingface/text-generation-inference) on HuggingFace's Inference API infrastructure.
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[![open a discussion](https://huggingface.co/datasets/huggingface/badges/raw/main/share-to-community-xl.svg)](https://huggingface.co/spaces/huggingchat/chat-ui/discussions)
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## Coming soon
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- LLM watermarking
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- user setting to share conversations with model authors.
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