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#300 End to End AI Application Development with Maxime Labonne, Head of Post-training at Liquid AI & Paul-Emil Iusztin, Founder at Decoding ML

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Demystifying AI Development

This chapter explores misconceptions around AI application development, including the nuances of fine-tuning and the use of frameworks. The speakers advocate for techniques like few-shot prompting over traditional fine-tuning and stress the value of custom solutions versus low-code options. They highlight the roles of AI engineers and the comprehensive process of creating applications, underscoring the importance of problem definition and iterating from minimum viable products.

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