Bindu Narayan, Ph.D.
Data Science Professional
Dr. Bindu Narayan has over 15 years of success leveraging expertise in data science to direct the development of artificial intelligence and machine learning algorithms to meet the needs of diverse business requirements within the pharmaceutical/ life sciences, manufacturing, software, and consumer packaged goods industries. She is recognized as a subject matter expert and innovative leader, with the ability to cultivate and grow strategic internal and external relationships to define and address opportunities to implement predictive modeling and analytics from application design through testing, integration, and deployment.
On The Schedule
1:30pm
45 minutes
From Prompt Engineering to RAG: Navigating the Gen AI Landscape for Business Success
The talk will be on what organizations need to do to maximize the benefits from Gen AI applications, specifically around Large Language Models. The talk will start with a brief description of how Gen AI has evolved – from AI to Gen AI. The different Foundation Models will be discussed with emphasis on how each Foundational model has been pre-trained. Typical business scenarios where Gen AI can be deployed will be discussed, drawing from real life examples. The speaker will then take the audience through the different mechanisms that can be used to get the most out of an LLM (Large Language Model) deployment – from Prompt engineering to instruction fine tuning to RAG (Retrieval Augmented Generation) Architecture. The talk will conclude with a few frameworks that an organization can make use of to make sure that LLMs do not ‘misbehave’.