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Copyright was intended to incentivize cultural production: in the era of generative AI, copyright won’t be enough. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. ” It looks like a bug, but it’s just the LLM doing what it always does.
When starting their AI initiatives, many companies are trapped in silos and treat AI as a purely technical enterprise, sidelining domain experts or involving them too late. They end up with generic AI applications that miss industry nuances, produce poor recommendations, and quickly become unpopular with users.
Companies are also trying to figure out how to leverage LLMs to make their private data more useful and create their next competitive advantage. While LLM accuracy has improved greatly in a relatively short period of time, today LLMs are still too unreliable for most production use cases, especially in high-stakes domains.
Last Updated on November 10, 2023 by Editorial Team Author(s): Louis Bouchard Originally published on Towards AI. Today, I received none other than Paige Bailey, a trailblazer in AIproductmanagement and a visionary who’s been at the helm of transformative projects at Google DeepMind and GitHub, working on the most advanced LLM projects.
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