The problem of unstructured data in foundation models [Q&A]

Artificial intelligence is only as good as the data that it has to work with and that means that large volumes of information are needed to train the software in order to get the best results. Ensuring the quality of data therefore is a key task in any AI implementation. We talked to the CEO of Snorkel AI, Alex Ratner, to find out more about the issues involved and how organizations can overcome them. BN: What are the major challenges companies face when working with AI models today, particularly language models? AR: The most significant obstacle enterprises face in using… [Continue Reading]