What I will learn?

• You will find here the recordings of all sessions from DLDC 2024, covering key insights and advancements in AI. Here is the list:
• 1. The Explainability Challenge in Generative AI - Varun Nakra
• 2. Marru(convert): Structure Data Creation from Unstructured Text for Fine-tuning Large Language Models in Indian Languages - Balaji Dhamodharan
• 3. Mastering the Generative AI Lifecycle: Unleashing the Power of XOps for LLM Success - Dr. Chiranjiv Roy
• 4. Advances in Controllable Text Generation Using Large Language Models - Pradeepta Mishra
• 5. Generative AI in Financial Crime Investigation: Enhancing Suspicious Activity Analysis - Charchit Bahl
• 6. The Role of Human Feedback in Generative AI Systems - Manas Talukdar
• 7. Harnessing LLMs for Time Series Forecasting: Developing a Swap-Based Hedging Strategy for Commodity Trading - Sriram Gudimella
• 8. Generative AI for Combating Disinformation - Michael Charles Borrelli
• 9. The Future of Learning with AI: Hypermedia Systems, Recommenders and Personalization in the Digital Age - Sara de Freitas
• 10. Enhancing Large Language Models by Integrating Human Preferences and Conditional Reinforcement Learning - Suvojit Hore
• 11. Elevating Fairness in Consumer Credit Assessments: A Large Language Model (LLM) Driven Approach - Shubhradeep Nandi
• 12. Building Explainable Generative AI Applications through LLMOps - Sachin Tripathi
• 13. Better Together: Collaboration Models for Data Scientists and Business Stakeholders - Andreas Welsch