AWS’ Bukovec on Hot Data, Tiering and Gen-AI
Tech Disruptors
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Considerations for Evaluating Models and the Evolution of AI
The chapter delves into concerns about training models with open source data and AWS's privacy measures. It emphasizes the importance of transparency in data sets for building customer trust and discusses factors like accuracy and latency when choosing AI models. It also highlights advancements in AI models, efficiency improvements, and the ease of adoption for generative AI capabilities, emphasizing the need for an enterprise AI mindset from the outset.
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