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4min chapter
The Future is Fine Tuned (with Dev Rishi, Predibase)
Thinking Machines: AI & Philosophy
Fine-tuning Machine Learning Algorithms
Exploring the challenges and advancements in fine-tuning machine learning algorithms, including data availability issues, historical problems with data sets, and the evolution of parameter tweaking for better results. The conversation also delves into fine-tuning a GPT4 model, discussing factors like learning rate, batch size, epochs, and the simplification of the fine-tuning process through default settings and hyperparameter optimization.
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Discover
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