Remove BERT Remove Computer Vision Remove Responsible AI
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Top Artificial Intelligence AI Courses from Google

Marktechpost

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Learn Generative AI With Google

Unite.AI

Introduction to Responsible AI Image Source Course difficulty: Beginner-level Completion time: ~ 1 day (Complete the quiz/lab in your own time) Prerequisites: No What will AI enthusiasts learn? What is Responsible Artificial Intelligence ? An introduction to the 7 Responsible AI principles of Google.

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Use zero-shot large language models on Amazon Bedrock for custom named entity recognition

AWS Machine Learning Blog

Traditional neural network models like RNNs and LSTMs and more modern transformer-based models like BERT for NER require costly fine-tuning on labeled data for every custom entity type. About the Authors Sujitha Martin is an Applied Scientist in the Generative AI Innovation Center (GAIIC).

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Google Research, 2022 & beyond: Algorithms for efficient deep learning

Google Research AI blog

Using this approach, for the first time, we were able to effectively train BERT using simple SGD without the need for adaptivity. Moreover, with LocoProp we proposed a new method that achieves performance similar to that of a second-order optimizer while using the same computational and memory resources as a first-order optimizer.

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Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

AWS Machine Learning Blog

With Amazon Bedrock, developers can experiment, evaluate, and deploy generative AI applications without worrying about infrastructure management. Its enterprise-grade security, privacy controls, and responsible AI features enable secure and trustworthy generative AI innovation at scale.

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Google Research, 2022 & beyond: Algorithmic advances

Google Research AI blog

These protocols are efficient from both computation and communication points of view, are substantially better than what standard methods would yield, and combine tools and techniques from sketching, cryptography and multiparty computation, and DP.

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Google Research, 2022 & beyond: Research community engagement

Google Research AI blog

We also support Responsible AI projects directly for other organizations — including our commitment of $3M to fund the new INSAIT research center based in Bulgaria. MultiBERTs Predictions on Winogender Predictions of BERT on Winogender before and after several different interventions.