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Fine Tuning Models and Its Impact on Specific Tasks
They discuss the concept of fine tuning and how it can improve the performance of models. They explore different approaches to fine tuning, such as reinforcement learning and dataset retrieval, and highlight its effectiveness in enhancing models like GPT 3.5. They also mention how fine tuning can significantly impact user affinity, especially in enterprise settings where models can be tailored to reflect proprietary data.