My Courses
Large Language Models, From Zero to Fine-Tuning
Discover the future of AI with insights from Sanyam Bhutani’s talk on effectively fine-tuning Large Language Models (LLMs) at MLDS 2024.
Navigating Career Evolution: Aligning Competency Skill Sets with Dynamic Technology Landscape
Chirag Jain at MLDS 2024: Mastering the art of aligning competency with the rapidly evolving technology landscape for career advancement.
Transforming Sales with Generative AI: The Dawn of LLM-Powered Sales Teams
Dive into the future of sales with LLMs and RAG, transforming traditional strategies into AI-powered success stories at MLDS 2024 in Bangalore.
Generative AI and the Road to Singularity: A Philosophical Journey into AI’s Future
Jaspreet Bindra’s insightful exploration into Generative AI’s journey towards Singularity intertwines technology with philosophy, urging a cautious yet innovative approach to AI’s future.
Proprietary vs Open-Source AI Models in Generative AI
Explore the pivotal debate between proprietary and open-source AI models, focusing on cost efficiency, performance, and long-term viability in the transformative landscape of Generative AI.
Positioning Your Enterprise as a Leader Through Strategic Upskilling with ADaSci
From Trends to Leadership: A Comprehensive Guide to Upskilling for Generative AI Excellence with ADaSci
Breaking the Language Barrier: Natural Language to SQL Using Large Language Models
Author(s): Suvojit Hore, Akshit Jain, Maninder Kaur, Kushal Singhal, Trimith Chatterjee, Shashank Shekhar, Sheenam Kumar, Vivek Sharma, Ramesh Kumar, Shubham Agarwal
Effective Working Capital Management Using Machine Learning (ML)
Author(s): A.N. Srinivasan, M. Shanmuga Sundaram, Sayan Ray
Advancing Onboarding in Narcotics Enforcement: An Innovative AI Companion
Author(s): Renuka Tammali, Rohan Devagiri, Kumboji Nikhil Kumar, B Leela Krishna Lalasa, Siva Prasad Polepally,
