chatgpt
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Fabian Schonholz interviews John Richard, from Startup Ignition, focusing on AI investment
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Does AI have a data problem? Yes, it does. The problem arises in several areas. Legal Companies like OpenAI, Anthropic, Google, and Microsoft are being sued by various parties, including corporations (e.g., The New York Times) and individuals (e.g., Sarah Silverman), for using their content to train AI models and profit from them. An interesting
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I grew up in an “evidence-driven” household. My earliest memories are of my father and me walking around and looking for “evidence” related to whatever we were focusing on at the time. Most of the time, it was Mathematics, particularly geometry. I later formally “learned” about concepts like Fibonacci numbers and spirals, perfect squares; we
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AI Model training requires vast amounts of data which are normally not readily available. As such, generating data sets artificially has become a need and an enterprise in itself. There are many pros and cons to using synthetic data, but let’s start with a definition: “A synthetic data set is any data set that represents
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Originally, this article was intended to be a video on the series about data, experimental data science, AI and Operations, and how these tools can be used to run your company more effectively. I wanted to look at AI as a tool and I think it’s appropriate to cover it from an ethics point of
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Today, I want to look at some use cases for AI in the context of a business tool. And as a case in point, I want to highlight the fact that I am using Generative AI tools to write this article. Here are a few areas I want to mention where major efficiencies are brought
Don't Be So Serious 