#machine-learning-models

#machine-learning-models

Interpretability is crucial in machine learning models for various industries.

Using interpretable models helps end-users understand and trust the model's output. [ more ]

ML models at Swiggy contribute to customer experience and business decisions through DSP platform.

DSP system at Swiggy built on Akka with actors for scalability, resiliency, and responsiveness. [ more ]

Oracle has launched its OCI Generative AI service and introduced new betas to help customers build machine learning models from their own data.

Oracle is trying to ensure that customers do not migrate data from its systems to other cloud providers by providing enhanced retrieval-augmented generation (RAG) techniques and a suite of pre-built generative AI services. [ more ]

European Union legislators have reached a historic deal on a broad-ranging AI safety development bill after a marathon 72-hour debate.

The proposed regulations would dictate the development and distribution of future machine learning models within the trade bloc, with different categories based on societal risks. [ more ]