Safeguarding Data Privacy in LLM-Powered Generative AI: Top Concerns and Effective Mitigation Strategies
Top data privacy challenges associated with LLM-powered GenAI applications and strategies to mitigate these concerns effectively.
Tag: large language models
Parameter-Efficient Tuning of Large Language Models (LLMs) with Novel Ensemble Knowledge Distillation Framework – Rohit Sroch
In this talk, the focus was on parameter-efficient tuning and knowledge distillation techniques to optimize large language models (LLMs).
LangChain: Harnessing the Potential of Generative AI for Industry – Dr. Vaibhav Kumar
This talk presented LangChain, an open-source framework simplifies the complexity of working with LLMs like GPT.
From Machine Logs to Actionable Insights: LLMs for Failure Analysis – Paritosh Sinha at DLDC 2023
This talk emphasizes the crucial role of leveraging LLMs to extract actionable insights from machine logs, specifically for failure analysis
Revolutionizing Roller Coaster Safety: Integrating Computer Vision, IoT, and Language Models – Dr. Chiranjiv Roy at DLDC 2023
This talk is aimed to explore the integration of cutting-edge technologies to enhance roller coaster safety while preserving the thrill and excitement for riders