This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
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To szybkie szkolenie dla początkujących wyjaśnia, czym są duże modele językowe (LLM) oraz jakie są ich zastosowania. Przedstawia również możliwości zwiększenia ich wydajności przez dostrajanie przy użyciu promptów oraz narzędzia Google, które pomogą Ci tworzyć własne aplikacje korzystające z generatywnej AI.
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Celem tego szybkiego szkolenia dla początkujących jest wyjaśnienie, czym jest generatywna AI oraz jakie są jej zastosowania. Szkolenie przedstawia również różnice pomiędzy tą technologią a tradycyjnymi systemami uczącymi się, a także narzędzia Google, które pomogą Ci tworzyć własne aplikacje korzystające z generatywnej AI.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
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The Google Cloud Computing Foundations courses are for individuals with little to no
background or experience in cloud computing. They provide an overview of concepts central
to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts
and demonstrate some hands-on skills.
This course is part of a series of courses called Google Cloud Computing Foundations.
The courses should be completed in the following order:
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Google Cloud Computing Foundations: Networking and Security in Google Cloud
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Google Cloud Computing Foundations: Kubernetes Engine Fundamentals
This first course provides an overview of cloud computing, ways to use Google Cloud, …
Attention Mechanism
Earned sie 9, 2024 EDT
Introduction to Image Generation
Earned sie 9, 2024 EDT
Introduction to Large Language Models - Polski
Earned sie 9, 2024 EDT
Introduction to Generative AI - Polski
Earned sie 9, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud
Earned kwi 30, 2023 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned kwi 29, 2023 EDT