My Courses
Large language model for multi-modal cheques extraction – Indrajit Kar
This talk sheds light on the innovative approach with Generative AI and LLMs and its potential to revolutionize the industry
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
Using deep learning for decoding of CAN bus data in vehicle analysis: Gaurav Adke at DLDC 2023
This talks covers the innovative application of deep learning for decoding Controller Area Network (CAN) bus data in vehicle 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
Generative AI in Finance: Transforming Investment Strategies and Risk Assessment – Rathnakumar Udaykumar at DLDC 2023
This talk highlights the impact of generative AI in finance and how it is revolutionizing investment strategies and risk assessment
Deep Learning DevCon (DLDC) 2023 Wrap: Unveiling the Top Highlights and Insights
Deep Learning DevCon (DLDC) 2023 has been concluded, explore here the top highlights and insights
Simplifying Seminal AI Papers: Latent Diffusion Model
Simplifying the breakthrough research paper in generative ai: High-Resolution Image Synthesis with Latent Diffusion Models
Simplifying Seminal AI Papers: BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding is a seminal paper because it presents a significant breakthrough in the field of natural language processing.
