Building a Screen-Aware AI with ScreenEnv and Tesseract
Learn how to build screen-aware AI using ScreenEnv and Tesseract for dynamic, real-time screen content
Artificial Intelligence Trends - Explore Our Blogs
The CXO’s Role in Building Agentic AI-Ready Talent
CXOs must lead talent transformation to build Agentic AI-ready teams through upskilling, mentoring, and applied
Redefining Governance, Risk and Compliance for AI Systems with GRC 2.0
As AI systems become more autonomous, organizations face new governance and compliance challenges. This article
Corporate Trainings on Generative AI
Our corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.
Multilingual Tokenization Efficiency in Large Language Models: A Study on Indian Languages
Authors: Mohamed Azharudeen M, Balaji Dhamodharan
Harnessing LLMs for Time Series Forecasting: Developing a Swap-Based Hedging Strategy for Commodity Trading
Authors: Sriram Gudimella, Rohit Zajaria, Jagmeet Sarna
Elevating Fairness in Consumer Credit Assessments: A Large Language Model (LLM) Driven Approach
Authors: Shubhradeep Nandi, Kalpita Roy
Enhancing Large Language Models: Integrating Human Preferences and Conditional Reinforcement Learning
Authors: Suvojit Hore, Gayathri Nadella, Sanmathi Vaman Parvatikar
Generative AI in Financial Crime Investigation: Enhancing Suspicious Activity Analysis
Authors: Varun Aggarwal, Charchit Bahl, Rahav Manoharan, Pushkar Raj
Assessing the Effectiveness of Generative Adversarial Networks for Time Series Data Augmentation
Author: Srinivas Babu Ratnam
Certified Generative AI Engineer
ADaSci’s Certified Generative AI Engineer program is an upskilling-linked certification initiative designed to recognize talent in generative AI and large language models.
