From the course: RAG Fine-Tuning: Advanced Techniques for Accuracy and Model Performance
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Intro to Hugging Face
From the course: RAG Fine-Tuning: Advanced Techniques for Accuracy and Model Performance
Intro to Hugging Face
- [Instructor] Now that we have our dataset ready, it's time to fine-tune our model. And to do that, we are going to be using Hugging Face. You can use other cloud service provider that offer fine-tuning capabilities like AWS or Azure. But for our use case, we'll be using Hugging Face. And before we get down to fine-tuning the model, let's first understand what Hugging Face is all about and what all you can achieve using this platform. So think of Hugging Face as the GitHub for AI, where AI developers share, discover, and collaborate on machine learning models and datasets. So just like how software developers use GitHub to share code, AI researchers and developers use Hugging Face to share their AI models and datasets. The most important feature that they have is this model hub. You can find models for specific tasks like text generation, translation, image recognition, image segmentation, image classification, question answering, feature extraction, text to audio. So you can use…
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