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Scaling the ‘Cursor for Slides’ to $50M ARR: Gamma founder Jon Noronha

Training Data

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Navigating AI Development: Prompt Engineering vs Fine-Tuning

This chapter explores the ongoing debate between prompt engineering and fine-tuning in AI development, arguing that fine-tuning can limit a model's capabilities. It also highlights the strengths of various closed-source models, the significance of cost efficiency, and the contrasting effectiveness of reasoning models in creative versus definitive tasks.

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