What Is Django and How Is It Used?
October 25, 2024
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Instructors: Andrew Ng
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Python
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Beginner level
Python
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.
Only available on desktop
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.
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.
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Practice new skills by completing job-related tasks with step-by-step instructions.
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Available only on desktop
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Reviewed on Sep 3, 2024
thanks for your effort dear Andrew NG for teaching
Reviewed on Feb 22, 2024
a simple yet powerfull courses to understand how to do semantic search and using vertex ai
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