Скачать или смотреть Understanding embeddings with Vertex AI Text-Embeddings API

Overview
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.

You can use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You can 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 will learn
The properties of word and sentence embeddings.
How embeddings can be used to measure the semantic similarity between two pieces of text.
How to visualize embeddings in a 2-dimensional space.