How L&D Leaders Can Drive AI Readiness Across the Enterprise?
A strategic guide to AI Readiness helping L&D leaders align talent, tools, and training for
ADaSci Expert
Vaibhav Kumar
A Deep Dive into Federated Learning of LLMs
Federated Learning (FL) enables privacy-preserving training of Large Language Models (LLMs) across decentralized data sources,
DeepSeek-Prover-V2 for Mastering Mathematical Reasoning
DeepSeek-Prover-V2 combines informal reasoning and formal proof steps to solve complex theorems , achieving top
Chartered Data Scientist (CDS™)
The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.
Top 10 Generative AI and LLM-Based Research Opportunities in Healthcare
Explore game-changing LLM-based research opportunities in healthcare, revolutionizing patient care, efficiency, and innovation landscape.
LoRA vs Soft Prompting: LLM Fine-Tuning Showdown
Imagine unlocking the hidden talents of a master linguist, tailoring their expertise to your specific
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
Building Generative AI Powered Automated Data Analytics and Reporting Platform for Enterprises – A Workshop by Sourabh Mehta
This workshop focused on constructing a cutting-edge generative AI-powered data analytics and reporting platform for
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
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
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
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
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)
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
