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Understanding and Applying Text Embeddings

The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions. During this course, you’ll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You’ll combine semantic search with the text generation capabilities of an LLM to build a question-answering systems using Google Cloud’s Vertex AI.

Status: Semantic Web
Status: Natural Language Processing
BeginnerProject2 hours

Featured reviews

ZG

5.0Reviewed Sep 3, 2024

thanks for your effort dear Andrew NG for teaching

OT

5.0Reviewed Feb 22, 2024

a simple yet powerfull courses to understand how to do semantic search and using vertex ai

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