The Future of AI

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This year is really 2023 has been the year where the public's perception of AI has substantially changed. There are some fundamental, at least for some of these models, there's some differences in how they're trained. The real power comes that you can downstream fine tune that model with your own data for a specific task. So instead of having a general model, you train a machine translation specific model or a sentiment analysis specific model on your own data.

Chris and Daniel take a step back to look at how generative AI fits into the wider landscape of ML/AI and data science. They talk through the differences in how one approaches “traditional” supervised learning and how practitioners are approaching generative AI based solutions (such as those using Midjourney or GPT family models). Finally, they talk through the risk and compliance implications of generative AI, which was in the news this week in the EU.

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