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10min chapter
Cracking the AI Code: ROI, Challenges, and Insights with Luke Arrigoni | Part 2
Making Data Simple
Challenges of Using Large Language Models and Tailored Solutions
This chapter discusses the challenges of using large language models and the importance of having tailored solutions for specific domains. They emphasize the need to avoid bias and suggest collaboration with IBM for sustainable hardware spending. The chapter also delves into their engagement process with clients, prototype building phases, and the significance of education and knowledge transfer.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode