This session explores Google's GenAI models, covering key concepts like prompting, fine-tuning, and retrieval-augmented generation (RAG). We'll dive into Gemma, examining its architecture, capabilities, and why it's gaining attention in the AI community. Interactive hands-on exercises will showcase Gemma's advanced prompting techniques, followed by discussions on GenAI's future impact and a Q&A.
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Join us for an in-depth session exploring Google's Generative AI (GenAI) models. We will cover the history of Google’s foundational models, focusing on core concepts such as Prompting, Fine-tuning, and Retrieval-Augmented Generation (RAG).
The session will dive into Gemma, its workings, and its growing prominence in the AI community. We'll compare it with other GenAI models to understand its unique value and potential.
Interactive hands-on exercises using Colab notebooks will demonstrate practical applications of Gemma's advanced prompting techniques. Finally, we’ll discuss the future of GenAI, its real-world applications across industries, and its impact on society, followed by a Q&A session.
Target Audience
Developers, AI enthusiasts, and professionals interested in GenAI technologies, prompt engineering, and those looking to explore the next frontier of artificial intelligence for practical applications.
Outcome
Attendees will gain a deep understanding of Google’s GenAI models, particularly Gemma, and how to apply advanced prompt engineering techniques in real-world scenarios. The session will also offer valuable insights into the future potential of GenAI technologies and networking opportunities to connect with fellow professionals in AI development.
Requirement
Saturday, September 28, 2024
12:00 PM – 2:30 PM (UTC)
| 12:00 PM | Registration |
| 12:30 PM | Session |
| 1:15 PM | Hands-on with Gemma: |
| 1:45 PM | Future of GenAI and Real-World Examples of GenAI Applications |
| 2:15 PM | Q&A |
| 2:30 PM |
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