From the course: AI Workshop: Advanced Chatbot Development
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Details to consider on deploying to Hugging Face Spaces
From the course: AI Workshop: Advanced Chatbot Development
Details to consider on deploying to Hugging Face Spaces
- [Lecturer] Welcome back. In this segment, we'll discuss important considerations for deploying your chatbot to Hugging Face Spaces. Just as in F1 racing where every detail matters for performance, it's crucial to understand the nuances of deployment for optimal results. One of the first decisions you'll need to make is where to make your space public or private. Public spaces are accessible to anyone and are a great way to share your work with the community or showcase your projects. Private spaces, on the other hand, restrict access to specific users, which is ideal for sensitive or proprietary projects. On public spaces, as I said, it's ideal for community engagement and open-source projects. Anyone can be on interact with your space. Private spaces are suitable for internal use, or when dealing with sensitive data, access is controlled unlimited to authorized users. More details on this can be found in a Hugging Face Spaces Documentation When deploying a chatbot and ensuring…
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