Dive deep into the world of fine-tuning with Azure OpenAI Service. We will guide you through the techniques and best practices that enable you to tailor AI models to meet your specific needs, optimizing performance for your unique applications. This session is perfect for developers and data scientists seeking to maximize AI effectiveness.
Anish Shah
Machine Learning Engineer
Anish is passionate about bringing ML ideas to life as practical products. Starting his career with various Data Science teams at SAP, he honed skills in traditional Machine Learning, Deep Learning, and recommendation systems. Now at Weights & Biases, Anish actively engages with practitioners, developing the ideal tools, lessons, and resources to democratize Machine Learning. His experience extends to demonstratively speaking both in-person and virtually at events across industries and verticals. By combining the art of programming and a touch of magic, Anish adeptly transforms ML projects, turning moments of uncertainty into revelations, and making the complex world of ML accessible and beneficial to all.
Steve Sweetman
Azure OpenAI Product Lead
At Microsoft, my team's mission is to provide customers with the most reliable and secure generative AI applications. Leading Azure OpenAI product, we're proud to support the largest generative AI applications, including Microsoft's own co-pilot solutions. Our commitment to excellence has facilitated widespread adoption across a diverse customer base, establishing Azure OpenAI as the backbone of enterprise-level AI applications.