Using Generative AI & Machine Learning in the Enterprise
September 19, 2023
Roja Boina
Chapter Co-lead at Women in Data
As an Engineering Senior Advisor, Roja provides data-driven and strategic solutions to customers using Data Engineering tools and technologies like Apache Spark, Python, Databricks, SQL, and BI tools like Tableau on cloud platforms including AWS. She Identifies and develops KPI’S that deliver high-impact value to the business. Her passion is to dive deep into the ocean of data, extract insights, and use Analytics for social good. She shares the knowledge and experience acquired in her learning process through her speaking events and writing for well-known tech blogs. She is a chapter co-lead for Women in data and a founding member of women tech network. Roja won the mentor of the year for 2022 with women in data.
Watch on-demand: September 19
Unlock the Power of Conversational AI: ChatGPT Prompt Engineering and Data Privacy for Enhanced Customer Engagement
In this talk, we will delve into the fascinating realm of ChatGPT prompt engineering and explore the critical considerations of data privacy within the context of using ChatGPT. ChatGPT, powered by state-of-the-art language models, has demonstrated remarkable abilities in generating human-like conversations and assisting users in various tasks. However, to achieve desirable outcomes and maintain data privacy, careful prompt engineering is essential.
We will begin by discussing the concept of prompt engineering and its significance in optimizing ChatGPT’s performance. We will explore techniques such as instruction framing, system message design, and user interaction modeling to shape the behavior and responses of ChatGPT.
Furthermore, we will delve into the crucial aspect of data privacy when utilizing ChatGPT. We will examine the challenges and best practices for handling sensitive information, ensuring data protection, and mitigating potential risks associated with AI-generated conversations.
Throughout the talk, we will provide practical insights and guidelines for prompt engineering and data privacy, drawing from real-world examples and research findings. By the end, attendees will have a comprehensive understanding of how to effectively harness the power of ChatGPT while upholding data privacy standards and fostering responsible AI usage.