Applied GenAI for Scientific Research

Mr. Jasper Wang1

1Google Cloud, Australia

Biography:

Jasper is a Google GenAI Blackbelt Specialist and the Lead Customer Engineer for Research and Higher Edu accounts with Google Cloud and he is also a member of Google global solution team focusing on research. He works with customers to help them derive maximum value from Google Cloud.

Jasper has over 23 years experience in the IT industry. He has been working with cutting-edge Cloud technologies and AI solutions for the last 8 years and many years working on large scale Enterprise IT solutions before that. He is passionate about applying the best-suited Cloud AI technologies to customer business problems in order to return values and insights to organizations.

Abstract:

In a market flooded with Large Language Models (LLMs) claiming to accelerate scientific research, it's crucial to select the right tool to ensure accuracy and efficiency. This presentation will address the key challenges researchers encounter when utilizing LLMs, including:

1. Integrating domain-specific research information into AI workflows

2. Managing complex and sophisticated research topics

3. Ensuring contextual accuracy in LLM outputs

4. Maintaining a secure AI platform infrastructure to protect sensitive data

We will then provide a brief demonstration of Gemini 1.5 Pro, showcasing how its expansive knowledge base, advanced reasoning capabilities, and 2 million token context window can tackle these challenges head-on. Discover how Gemini 1.5 Pro can revolutionize your research process and unlock new avenues for discovery.

 

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