ZG
thanks for your effort dear Andrew NG for teaching
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.
ZG
thanks for your effort dear Andrew NG for teaching
OT
a simple yet powerfull courses to understand how to do semantic search and using vertex ai
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a simple yet powerfull courses to understand how to do semantic search and using vertex ai
thanks for your effort dear Andrew NG for teaching
great short course. Andrew doesn't disappoint.
Very interesting
very good
siuuuu
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All jupyter labs are pre-defined and you just run the code cells while Andrew speaks. The first jupyter lab throws a 'JSONDecodeError: Extra data: line 1 column 5 (char 4)', and it's a standstill