Agent Memory in AI: How Persistent Memory Can Redefine LLM Applications – Unite.AI
Agent memory in AI: How persistent memory can redefine LLM applicationsUnite.AI
Matrix Reloading: Quantum Subroutines Improve Efficiency of Matrix Multiplication for AI and Machine Learning Applications – The Quantum Insider
Matrix Reloading: Quantum Subroutines Improve Efficiency of Matrix Multiplication for AI and Machine Learning ApplicationsQuantum Insider
Exploring controllable learning: Methods, applications, and challenges in information retrieval.
https://arxiv.org/pdf/2407.06083 Controllable Learning (CL) has emerged as a key component of reliable machine learning, which focuses on ensuring that learning models meet predefined goals and adapt to changing requirements without…
HPE updates native portfolio to power generative AI, machine, and deep learning applications
Hewlett Packard Enterprise announced updates to its artificial intelligence native portfolio to accelerate the operationalization of generative AI, deep learning, and machine learning applications. According to the company, this update…
Starburst expands support for building interactive applications on data lakes
New capabilities enable customers to ingest, manage, and share data in near real-time while leveraging the scale and cost efficiency of data lakes. starburst, the data lake analytics platform, announced…