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.
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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.
What you'll learn
- Apply text embeddings for tasks such as classification, clustering, and outlier detection.
- Modify the text generation behavior of an LLM by adjusting the parameters temperature, top-k, and top-p.
- Apply the open source ScaNN (Scalable Nearest Neighbors) library for efficient semantic search.
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