Bloomberg Copyright Lawsuit Over AI Training Data to Move Forward - DiCello Levitt
<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxPS05SM0gwR3lxcHZ3V3JjamViMkNMbHM0NWVnZ0JSMlM1UkRaWGNLcUdSUkZ3eXhfaG1QYXFjbWRZNlppZkVjbDJuMGdORlRZdEg2LXRKa1J0WU54MEswNEtRcjRZOFE5STJrV1U5cFh6NzN3VkQyUnl3ekRVM1Z2M211TXk1S3EtWEZsa0pFZ0JDbklDTDk4?oc=5" target="_blank">Bloomberg Copyright Lawsuit Over AI Training Data to Move Forward</a> <font color="#6f6f6f">DiCello Levitt</font>
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MemFactory: Unified Inference & Training Framework for Agent Memory
arXiv:2603.29493v1 Announce Type: new Abstract: Memory-augmented Large Language Models (LLMs) are essential for developing capable, long-term AI agents. Recently, applying Reinforcement Learning (RL) to optimize memory operations, such as extraction, updating, and retrieval, has emerged as a highly promising research direction. However, existing implementations remain highly fragmented and task-specific, lacking a unified infrastructure to streamline the integration, training, and evaluation of these complex pipelines. To address this gap, we present MemFactory, the first unified, highly modular training and inference framework specifically designed for memory-augmented agents. Inspired by the success of unified fine-tuning frameworks like LLaMA-Factory, MemFactory abstracts the memory lif

M-MiniGPT4: Multilingual VLLM Alignment via Translated Data
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Stochastic Dimension Implicit Functional Projections for Exact Integral Conservation in High-Dimensional PINNs
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Tunisia: President accuses artificial intelligence of ‘conspiring’ against humans - Middle East Monitor
<a href="https://news.google.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?oc=5" target="_blank">Tunisia: President accuses artificial intelligence of ‘conspiring’ against humans</a> <font color="#6f6f6f">Middle East Monitor</font>

MemFactory: Unified Inference & Training Framework for Agent Memory
arXiv:2603.29493v1 Announce Type: new Abstract: Memory-augmented Large Language Models (LLMs) are essential for developing capable, long-term AI agents. Recently, applying Reinforcement Learning (RL) to optimize memory operations, such as extraction, updating, and retrieval, has emerged as a highly promising research direction. However, existing implementations remain highly fragmented and task-specific, lacking a unified infrastructure to streamline the integration, training, and evaluation of these complex pipelines. To address this gap, we present MemFactory, the first unified, highly modular training and inference framework specifically designed for memory-augmented agents. Inspired by the success of unified fine-tuning frameworks like LLaMA-Factory, MemFactory abstracts the memory lif

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Lie Generator Networks for Nonlinear Partial Differential Equations
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