LLMs in Focus: From One-Size-Fits-All to Verticalized Solutions - MLOps Podcast #196
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the evolving landscape of large language models (LLMs) in this 55-minute MLOps podcast featuring Numbers Station's Venky Ganti and Laurel Orr. Delve into the comparison between general-purpose and verticalized LLMs, examining their applications in data analytics through real-world customer stories. Investigate the implications of ownership structures on transparency and trustworthiness, focusing on open-source versus proprietary models. Learn about NSQL foundation models and the critical role of diverse, high-quality training data in addressing enterprise challenges. Gain insights into the future of LLMs, including hosting solutions and the trend towards specialized applications. Benefit from the expertise of Venky Ganti, with over two decades of experience in software engineering and technical leadership, and Laurel Orr, a Principal Engineer specializing in foundation model technology for enterprise data stacks.