My Courses
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Harnessing LLMs for Time Series Forecasting: Developing a Swap-Based Hedging Strategy for Commodity Trading
Authors: Sriram Gudimella, Rohit Zajaria, Jagmeet Sarna
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Elevating Fairness in Consumer Credit Assessments: A Large Language Model (LLM) Driven Approach
Authors: Shubhradeep Nandi, Kalpita Roy
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Enhancing Large Language Models: Integrating Human Preferences and Conditional Reinforcement Learning
Authors: Suvojit Hore, Gayathri Nadella, Sanmathi Vaman Parvatikar
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Generative AI in Financial Crime Investigation: Enhancing Suspicious Activity Analysis
Authors: Varun Aggarwal, Charchit Bahl, Rahav Manoharan, Pushkar Raj
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Assessing the Effectiveness of Generative Adversarial Networks for Time Series Data Augmentation
Author: Srinivas Babu Ratnam
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How to Evaluate the RAG Pipeline Cost?
This article details the key factors influencing RAG pipeline cost, covering implementation, operation, and data expenses.
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HybridRAG: Merging Structured and Unstructured Data for Cutting-Edge Information Extraction
HybridRAG integrates Knowledge Graphs and Vector Retrieval to enhance accuracy and speed in complex data extraction tasks.
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Adversarial Prompts in LLMs – A Comprehensive Guide
Adversarial prompts exploit LLM vulnerabilities, causing harmful outputs. This article covers their types, impacts, and defenses.
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Agentic RAG Explained: A New Era of Adaptive AI Systems
Explore how Agentic RAG enhances information retrieval using intelligent agents for greater accuracy, scalability, and adaptability.
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Transfusion Model: A Deep Exploration of Multi-Modal AI Integration
The Transfusion model revolutionizes multi-modal AI by unifying text and image generation in an efficient framework.
