
LinkedIn's AI Breakthrough: Ditching Prompts for Smaller Models
LinkedIn bypassed traditional prompting methods for its next-generation AI recommender systems, finding them inadequate for achieving desired accuracy and efficiency. Instead, they developed a novel multi-teacher distillation technique, refining a large language model into smaller, optimized models, which significantly improved the quality and repeatability of AI applications across the platform. This approach highlights the importance of custom AI solutions and model optimization for specialized tasks, demonstrating a shift towards more efficient and tailored AI implementations.





















Discussion
Join the conversation
Be the first to comment