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  • Enhancing GAN Training Stability through Xavier Glorot Initialization: A Solution to Unstable Training

    ADaSci

    Author(s): Sourabh Mehta

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  • Comparative Analysis for Predicting Shelf Life of Fruits Using Advanced Deep Learning Approaches

    ADaSci

    Author(s): Radhika Mishra, Sanath Shenoy

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  • Analysing the Potential Bias and Fairness of “Artificial Intelligence as a Service”

    ADaSci

    Author(s): Srinivas Babu Ratnam

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  • Choosing the Right Generative AI Training Providers for Your Team

    Choosing the Right Generative AI Training Providers for Your Team

    ADaSci

    Selecting the right generative AI training is critical for successful technology adoption. Key steps include identifying team needs and evaluating providers.

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  • Helping eCommerce marketplace improve seller satisfaction scores using Bayesian network

    ADaSci

    Author(s): Debasree Bhattacharya, Daya Patkar, Karishma Mulla, Ashi Garg

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  • Building Generative AI Powered Automated Data Analytics and Reporting Platform for Enterprises – A Workshop by Sourabh Mehta

    Building Generative AI Powered Automated Data Analytics and Reporting Platform for Enterprises – A Workshop by Sourabh Mehta

    Vaibhav Kumar

    This workshop focused on constructing a cutting-edge generative AI-powered data analytics and reporting platform for enterprises

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  • Large language model for multi-modal cheques extraction – Indrajit Kar

    Large language model for multi-modal cheques extraction – Indrajit Kar

    Vaibhav Kumar

    This talk sheds light on the innovative approach with Generative AI and LLMs and its potential to revolutionize the industry

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  • Parameter-Efficient Tuning of Large Language Models (LLMs) with Novel Ensemble Knowledge Distillation Framework – Rohit Sroch

    Parameter-Efficient Tuning of Large Language Models (LLMs) with Novel Ensemble Knowledge Distillation Framework – Rohit Sroch

    Vaibhav Kumar

    In this talk, the focus was on parameter-efficient tuning and knowledge distillation techniques to optimize large language models (LLMs).

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  • LangChain: Harnessing the Potential of Generative AI for Industry – Dr. Vaibhav Kumar

    LangChain: Harnessing the Potential of Generative AI for Industry – Dr. Vaibhav Kumar

    Vaibhav Kumar

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

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  • From Machine Logs to Actionable Insights: LLMs for Failure Analysis – Paritosh Sinha at DLDC 2023

    From Machine Logs to Actionable Insights: LLMs for Failure Analysis – Paritosh Sinha at DLDC 2023

    Vaibhav Kumar

    This talk emphasizes the crucial role of leveraging LLMs to extract actionable insights from machine logs, specifically for failure analysis

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