Large language model operations (LLMOps) is an emerging subarea of MLOps that focuses on machine learning best practices, automations, tools, and operational standards for managing LLM development.

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

In their paper published in the journal Device on September 12, 2024, the team developed the dual-IMC (in-memory computing) scheme, which not only accelerates the machine learning process, but ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

At AWS, Naveen leads data architecture and machine learning operations within the Central Economics team, driving strategic decision-making through cutting-edge AI solutions.

Manufacturing execution systems (MES) generate mountains of data. Deciphering the data, however, often consumes hours daily. Machine learning can quickly transform MES data into actionable insights to ...

Jeevan is also deeply involved in MLOps (Machine Learning Operations), ensuring that the models he develops are not only accurate but also scalable, maintainable, and capable of continuous ...

In the ever-evolving fields of artificial intelligence (AI) and machine learning, where technological progress hinges on innovation, Rishabh Shanbhag has emerged as a transformative force. His ...