Blog · Topic
Machine learning
The techniques under the hood, from language models and reinforcement learning to edge AI and the foundations we build on.
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Zero/Few/One-Shot Learning
An introduction to zero-shot, one-shot, and few-shot learning techniques that let machine learning models work with very little training data, where each approach shines, and where it falls short of traditional deep learning.
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What is Edge AI and How Can I Leverage it Successfully?
A primer on Edge AI: what it is, the trade-offs around speed, security, location, cost, and processing power, and the practical case for a hybrid approach that mixes on-device inference with cloud processing.
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Is Google Vertex AI right for your project?
What are the advantages of using Vertex AI? Who should be using it? And why Vertex AI over other platforms?
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Lunch and Learn: An Introduction to Reinforcement Learning
This Lunch and Learn webinar provides a detailed overview of reinforcement learning, its applications and use cases, and a selection of resources you can explore to learn more about reinforcement learning.
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Teaching Machines to Read
Is it possible to have a computer read an unfamiliar passage of text, comprehend, and answer questions from it?