What are embeddings in AI?
Embeddings convert text, images, or items into numerical vectors that capture meaning or similarity. Used in search, recommendations, and NLP, embeddings are a core concept taught in the Best artificial intelligence training programs because they help AI systems understand context, relationships, and semantic meaning at scale.
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Why are neural networks important in modern AI applications?
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Should I use REST or GraphQL for ML model deployment?
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What is the purpose of activation functions in neural networks?
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What are the prerequisites for joining online Artificial Intelligence courses?
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What kind of projects will I work on during AI and ML training?
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