Mastering AI Code Execution in Secure Sandboxes with E2B
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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
A Deep Dive into Federated Learning of LLMs
Federated Learning (FL) enables privacy-preserving training of Large Language Models (LLMs) across decentralized data sources,
Chartered Data Scientist (CDS™)
The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.
From Dependency to Self-Sufficiency: Efforts Building In-House OCR Capabilities with Open- Source Frameworks
Author(s): Venkata Karthik Turlapati, Varsha H S, Abhilash VJ
Enhancing Taxpayer Risk Prediction through LLM-Driven Profile Tuning
Author(s): Shubhradeep Nandi, Kalpita Roy
Uncertainty of ageing and sudden death behaviour in Lithium-ion cells: Can Deep Learning models help?
Author(s): Praveen Prasath KV, Muhammed Anas P
Enhancing Photorealism and Customization in Digital Advertising: A Generative AI Framework for Automated Ad Creation
Author(s): Pranshu Agrawal, Chhavi Chawla, Govinda Bharadwaj Kolluri, Sourav Banerjee
Novel Grocery Recommendations with T5: A Transformer-Based Approach for Next Basket Prediction
Author(s): Pawan Chorasiya, Aditya Thomas, Abhinav Arya
Life Stage Customer Segmentation by Fine-tuning Large Language Models
Author(s): Nikita Katyal, Shaurya Uppal
AgNet: A Novel AI Agent Network Architecture
Author(s): Manoj Gupta, Vikram Acharya, Sai Sujan, Ayush Mittal
Vision-Powered RAG Agents for Organizational Software and Web Operations
Author(s): Varun Malhotra, Gaurav Adke, Ameya Divekar
LLM Based Agentic Framework to Assist with IT Incidents
Author(s): Chandan Kumar Agarwal, Aditi Raghuvanshi, Suresh S K, Sovan Gosh
