
Building Real-World LLM Products with Fine-Tuning and More with Hamel Husain - #694
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Benefits of Fine Tuning in a Narrow Domain
Fine tuning is recommended in scenarios where a narrow domain is present, and there is a need for a smaller model, privacy, and flexibility in usage. Having a narrow domain sets a precondition for successful fine tuning, ensuring better performance and addressing potential issues that may arise without this constraint.
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