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Helitha Rupasinghe
Helitha Rupasinghe

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A Beginner's Guide to Learning Generative AI

In this blog post, we'll cover a list of essential resources that will help you understand the fundamentals and dive deeper into the exciting realm of generative AI. Let's get started!

Understanding Generative AI:

  • Start with "What is generative AI?" from Google's Techspert blog [1]. This concise and informative article provides an excellent introduction to generative AI, explaining its concepts, applications, and potential impact.

  • Dive into "What is generative AI?" by McKinsey Explainers [3]. This resource offers a broader perspective on the topic, discussing the fundamental principles and real-world use cases of generative AI.

Generative AI in Practice:

  • Learn about Google's research and future direction in generative models through the blog post "Google Research, 2022 & beyond: Generative models" [4]. This article explores the advancements made in generative AI and provides insights into its potential applications.

  • Discover the possibilities of creating generative AI-powered search and conversational experiences with Gen App Builder, as detailed in the blog post by "Google Cloud" [2]. This resource offers a practical approach to leveraging generative AI for developing innovative applications.

  • Gain insights into Stanford University and Google's collaboration in building generative agents that produce believable proxies of human behaviors. Read the article "Stanford U & Google's Generative Agents Produce Believable Proxies of Human Behaviors" [7] to understand the cutting-edge research and its implications.

Ethical Considerations and Perspectives:

  • Delve into the ethical aspects surrounding generative AI by exploring the New York Times podcast episode titled "Generative AI is here. Who Should Control It?" [6]. This thought-provoking discussion highlights the challenges and concerns associated with the control and responsible use of generative AI.

  • Stanford HAI's document "Generative AI: Perspectives from Stanford HAI" [8] offers insights from leading experts in the field. This comprehensive resource covers the opportunities, challenges, and implications of generative AI, helping you develop a well-rounded understanding of the topic.

Large Language Models:

Additional Resources:

To further enhance your understanding, consider exploring these additional resources:

Remember to experiment, ask questions, and apply your knowledge in practical projects to deepen your understanding and develop your skills in this rapidly evolving field.

Happy learning!

Reference

CloudSkillsBoost

Top comments (1)

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Dauda Lawal

Thanks for sharing.