Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a 22-minute conference talk on leveraging Large Language Models (LLMs) for personalized content engagement in media. Discover how Fox, a media powerhouse, utilizes Databricks' fine-tuning API to train custom LLMs with distinctive styles and tones, unlocking numerous GenAI applications. Learn about Fox's innovative approach to extracting insights from video transcription data, including entity and topic identification, and opinion analysis. Understand how these advancements facilitate marker integration for seamless VOD playback and semantic search, enhancing user experiences through curated video libraries and personalized recommendations. Gain insights into the future of immersive digital engagement in media from Niall Turbitt, Senior Staff Data Scientist at Databricks, and Philip Martin, VP of Emerging Tech at Fox. Access additional resources on LLMs and MLOps, and connect with Databricks through various social media platforms to stay updated on the latest developments in AI-powered media dynamics. Read more