classification

Use language embeddings for zero-shot classification and semantic search with Amazon Bedrock | Amazon Web Services

In this post, we discuss what embeddings are, show how to practically use language embeddings, and explore how to use them to add functionality such as zero-shot classification and semantic search. We then use Amazon Bedrock and language embeddings to add these features to a really simple syndication (RSS) aggregatorContinue Reading

Create and fine-tune sentence transformers for enhanced classification accuracy | Amazon Web Services

In: Artificial Intelligence

Sentence transformers are powerful deep learning models that convert sentences into high-quality, fixed-length embeddings, capturing their semantic meaning. These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval. In this post, we showcase how to fine-tune a sentence transformerContinue Reading

Use language embeddings for zero-shot classification and semantic search with Amazon Bedrock | Amazon Web Services

Create and fine-tune sentence transformers for enhanced classification accuracy | Amazon Web Services

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