"Generative AI Hands-on Lab" video offers a deep dive into Generative AI, focusing on prompt engineering and model tuning, using Google's AI tools.   
Google Generative AI Hands-on Lab - LLM prompt engineering
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Google Generative AI Hands-on Lab - LLM prompt engineering

The video titled "Generative AI Hands-on Lab" is a technical session that provides a comprehensive understanding of Generative AI, focusing on best practices of LLM prompt engineering, basics of parameter efficient tuning, and model tuning. 

 

 

The video tutorial is designed for intermediate to advanced learners and includes exercises on using the Python SDK to run the PaLM API and building industry-specific solutions. It also provides hands-on experience with Google Cloud's Generative AI Studio to explore different models and create your own top AI prompts.

 

The session begins with an introduction to Generative AI, explaining how it relies on large models, such as large language models (LLMs), that can classify and generate text, answer questions, and summarize documents. It then delves into the practical application of Generative AI, using Google's Vertex AI and Generative AI Studio.

 

The hands-on lab activities are performed in a real cloud environment, not in a simulation or demo environment. The lab activities include creating AI prompts with free-form and structured text, and creating conversations with chat based AI prompts using Generative AI Studio with Vertex AI on Google Cloud console. 

 

The video also provides a walkthrough of the Generative AI Studio's Prompt Gallery, which showcases how generative AI models can work for a variety of use cases. 

 

In summary, the video is a comprehensive guide to understanding and applying Generative AI, with a focus on LLM prompt engineering, parameter efficient tuning, and model tuning. It provides practical, hands-on experience with Google's Generative AI tools and technologies.

 

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