Abstract: Federated Learning (FL) is a promising distributed machine learning framework that allows clients to collaboratively train a global model without data leakage. The synchronous FL suffers ...
The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...
After their most recent cooperative education (co-op) experience, two Drexel University students will never experience museums in the same way — or books, chemistry, paper, light bulbs or Disney World ...
A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at ...
In a clear reflection of the Federal Government’s commitment to protecting critical economic sectors, especially manufacturing, while maintaining an efficient revenue collection system, the Nigeria ...
A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience in software testing and automation. Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience ...
Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...
Embabel, an open source framework for authoring AI agentic flows on the JVM, has been launched by Spring Framework founder Rod Johnson. Johnson aims for Embabel to become the natural way to integrate ...
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