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Introduction to LLMs and Fine-tuning
Webinar By Rajeev Chandran
Abstract
Large Language Models (LLMs) are transforming the way businesses and individuals interact with AI. From powering chatbots to enabling advanced automation, their applications are vast and growing rapidly. However, to unlock their full potential, organizations need to understand how LLMs work and how fine-tuning can tailor them to specific business needs.
In this session, we will cover the fundamentals of LLMs, explore common use cases, and demystify the fine-tuning process. You’ll gain insights into how fine-tuning helps improve accuracy, align models with organizational goals, and enhance performance in real-world scenarios.
Watch Webinar
Date: September 11th, 2025
Time: 4:30 PM – 5:30 PM IST
Speaker: Mr. Rajeev Chandran
Agenda:
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Types of Fine-tuning
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Data Preparation
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Fine-tuning Techniques and Tools
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Evaluation and Monitoring
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Challenges and Optimization Tips
Who Should Attend?
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Business leaders exploring AI adoption for their organizations
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Data scientists and AI/ML engineers looking to strengthen their LLM skills
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Product managers aiming to integrate AI into their solutions
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Technology consultants and solution architects working with enterprise AI strategies
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Anyone curious about how LLMs and fine-tuning can unlock business value
About the Trainer:
Mr. Rajeev Chandran, a distinguished technology luminary with nearly two decades of industry-leading experience, embodies the essence of a visionary leader and architect of cutting-edge solutions. His remarkable ability to seamlessly integrate diverse realms such as products, technology, data science, and software has resulted in the creation of large-scale, high-performance solutions that transcend geographical boundaries.
With laser-focused expertise in Data Engineering, ML Engineering, Data Science Microservices, Search Engineering, Cloud, and DevOps, Rajeev has left an indelible mark on the eCommerce, Retail, Search, and Advertisement sectors.
Join us for this exclusive session as Mr. Chandran shares his unparalleled insights and expertise, charting a course towards the future of technology.
