This podcast episode explores the fascinating realm of AI, from the practical applications of generative language models to the challenges and opportunities in evaluating large language models. It delves into the complexities of AI engineering, the journey of creating the Practical AI podcast, and the challenges faced by engineers and data scientists transitioning into the field of AI engineering. The podcast also discusses the latest trends and challenges in MLOps and LLMOps, the importance of linguistic diversity in language models, and the emergence of grassroots organizations working to develop datasets for fine-tuning LLMs.
