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Exploring Reliability and Adaptability in AI Language Models
This chapter explores the challenges and strategies in constructing dependable AI systems with language models, focusing on stochastic elements. It discusses fine-tuning techniques, the trade-offs of model sizes, and the role of knowledge distillation in optimizing performance for specific applications.