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.
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).
This talk presented LangChain, an open-source framework simplifies the complexity of working with LLMs like GPT.
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