"Whatever data is used to train a model, that model now represents that data and so wherever the model weights go, the data has gone. OpenAI and Google, for example, don't disclose exactly what data is used to train their models and it's not outside the realm of possibility that they could act in ways that are difficult to predict. Many small to medium enterprises want to adopt machine learning, but are apprehensive about turning to off-the-shelf models built by private companies.Ībove all, they don't want to share proprietary information with potential competitors, and are unsure about using their models if they don't know exactly how they will behave. Together the two outfits have the technical infrastructure and expertise to attract large businesses that want to use their own data to train and deploy generative AI systems. Databricks' core platform helps customers store and sort incoming data from different sources in their own cloud clusters, while MosaicML offers tools to spin up custom AI models at low cost. The deal appears to be a logical step to enable growth for both parties. Analysis Databricks has announced it will acquire generative AI startup MosaicML for $1.3 billion, in a deal that will make it easier for private entities to train and run their own custom machine learning models.
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