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Hands-On Guide on Teable Turning Data into Action
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The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.
Interview with Sai Srikanth Gorthy, Chartered Data Scientist – A Data Science Visionary
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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
Why “One-Size-Fits-All” Solutions in Generative AI Training Fail and The Need for Customized Corporate Programs
Discover why generic Generative AI training programs fail to meet diverse organizational needs and how
Revolutionizing Language Models with KAN: A Deep Dive
Kolmogorov-Arnold Networks (KAN) offer a groundbreaking approach to language model architecture, enabling efficient continual learning
Microsoft’s Phi-3 Models: A Game Changer in AI Performance and Accessibility
Microsoft’s Phi-3 small and medium models, released under the MIT license, set new performance benchmarks,
