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Investing in Smaller Models for Specific Use Cases
The chapter discusses the benefits of investing in smaller models tailored to specific use cases rather than focusing only on large language models. It addresses challenges in integrating data with models like GPT-4 and emphasizes the importance of fine-tuning models to improve reasoning capabilities.