What are the best use cases for embedding models?
Embedding models are great for tasks like semantic search, recommendation systems, and natural language understanding.
Can you explain how they work in semantic search?
Sure! In semantic search, embedding models convert text into vector representations, allowing for more accurate matching of queries and documents.
What about their use in recommendation systems?
In recommendation systems, embedding models help in understanding user preferences and item similarities, leading to personalized suggestions.
Are there any specific industries that benefit the most from these models?
Yes, industries like e-commerce, healthcare, and finance leverage embedding models for enhanced user experiences and insights.
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