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What does it take to move from fascination to practical use with AI in aquaculture? In this week’s episode, Tony Chen dives deep into how the conversation around AI has evolved in the seafood industry, shifting from wide-eyed amazement to actionable implementation. Tony breaks down the four key methods enterprises are using to integrate AI with their own data—prompt engineering, RAG databases, fine-tuning models, and pre-training models—and how these technologies are already transforming aquaculture. Listeners will gain a clear understanding of the real-world applications, challenges, and first-mover advantages AI can offer today.
For more aquaculture insights, head to our Fish n’ Bits blog.
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What does it take to move from fascination to practical use with AI in aquaculture? In this week’s episode, Tony Chen dives deep into how the conversation around AI has evolved in the seafood industry, shifting from wide-eyed amazement to actionable implementation. Tony breaks down the four key methods enterprises are using to integrate AI with their own data—prompt engineering, RAG databases, fine-tuning models, and pre-training models—and how these technologies are already transforming aquaculture. Listeners will gain a clear understanding of the real-world applications, challenges, and first-mover advantages AI can offer today.
For more aquaculture insights, head to our Fish n’ Bits blog.
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