Exposing the inferencing engine as an API makes it possible ... is that a model is built using MLFlow, which is an open-source platform for managing the machine learning lifecycle.

As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often ... of Sciences. The development of advanced large language models (LLMs) has become a ...

Microsoft has released the 0.6 version of its ML.Net machine learning ... process and can be linted out. Previous versions of ML.Net allowed re-use of TensorFlow models. The new ML.Net API expands ...

Back in the ancient days of machine ... (using supervised learning). Like everything else associated with machine learning, deep learning, and large language models, the generative AI development ...

With an increasing number of threats to business security and the growth of application programming ... “The new machine learning models that power our Apigee API abuse detection have been ...

refashion data into forms its machine learning models can make better use of. “As part of the machine learning process, we’ve figured out how to optimally massage the data so that we get ...

Google is adding a Digital Ink Recognition API for both Android and iOS to allow developers to create apps where stylus and touch act as primary inputs. In June, in the realm of machine learning ...

Scientists have successfully tested the use of machine learning models to guide the design ... reduce the time and cost associated with drug development, making promising new medicines available ...