Mastering LLM Optimization: RAG, Fine-Tuning, and Combined Strategies

by Prashanth Pollishetty and Varun Kodathala | at Minnebar 18 | 9:25 – 10:10 in Learn | View Schedule

Dive into the whirlwind world of AI, where generative models like ChatGPT and LLama dazzle the public and dominate headlines. As these models captivate imaginations and promise revolution, businesses are left pondering how to harness this theoretical prowess for tangible, impactful applications. This session pierces through the spectacle to explore the nuts and bolts of truly optimizing large language models (LLMs) for specific business needs. We will dissect the integration of Retrieval-Augmented Generation (RAG), fine-tuning, and their synergistic potential, offering a blueprint for transforming raw AI capabilities into finely tuned tools that can predict outcomes, understand nuances, and drive business performance.

Our journey begins with RAG, a method that enhances model responses by dynamically pulling in information from vast external databases, thus enriching the context and relevance of answers. We will then delve into fine-tuning, a critical process that adjusts pre-trained models to better align with the unique datasets and peculiar challenges of your business, ensuring that the model not only understands general language but speaks the specific dialect of your industry. By combining these techniques, we unlock a new realm of possibilities, empowering technologists to not only follow AI trends but to lead them, crafting bespoke solutions that push the boundaries of what's possible in AI optimization.

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Prashanth Pollishetty

Prashanth Pollishetty is the CEO and Founder of Vizworld and SportsVision, where he skillfully merges strategic foresight with profound technical expertise, particularly in the sports analytics sector. Previously, he served as the Senior Director of Technology at United Health Group, showcasing his ability to manage complex data systems effectively. His tenure at Wells Fargo as Vice President of Strategy further highlighted his innovative approaches to technology integration, driving significant business advancements. Prashanth's visionary leadership was instrumental in securing a groundbreaking project with the USOPC, demonstrating his capacity to steer his team toward innovative solutions in the sports technology landscape. His foresight in anticipating market trends continues to guide his company toward pioneering advancements.

Varun Kodathala

I am Sai Varun Kodathala, the CTO at SportsVision (Techstars' 24). My background in engineering, highlighted by two University President Gold Medals, has grounded my approach to technological solutions. I specialize in image processing and computational optimization, focusing on practical applications in sports analytics. My work includes developing algorithms that enhance our understanding of athlete biomechanics and performance. I have also filed provisional patents to secure our innovative methods. Passionate about bridging the gap between academic theories and real-world applications, I am committed to advancing sports technology through thoughtful and effective solutions.

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