Applied GenAI for Scientific Research
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.
Institutions
- Google (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-31
- DOI
- https://doi.org/10.5281/zenodo.15293605
- Primary Topic
- LGBTQ Health, Identity, and Policy
- Type
- article
- Field-Weighted Citation Impact
- 0.00