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15min chapter
AWS’ Bukovec on Hot Data, Tiering and Gen-AI
Tech Disruptors
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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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode