Tag: Researchers

Exploring the synergy between reinforcement learning (RL) and large language models (LLMs) reveals a vibrant area of computational linguistics. These ...

Researchers from Sony AI and KAUST have introduced FedP3 to address the challenge of federated learning (FL) in scenarios where ...

In previous projects, researchers from the University of Oregon had used the same reinforcement learning technique to teach a two-legged ...

Reinforcement learning (RL) faces challenges due to sample inefficiency, hindering real-world adoption. Standard RL methods struggle, particularly in environments where ...

Pretrained language models (LMs) are commonly finetuned to adapt them to new domains or tasks, a process known as finetuning. ...

Large language models (LLMs) are widely used in search engines to provide natural language responses based on users’ queries. Traditional ...

In the ever-evolving landscape of artificial intelligence, a revolutionary concept has been turning heads and pushing boundaries: federated learning (FL). ...

To promote innovation in fully homomorphic encryption (FHE), IBM® researchers have initiated challenges on the FHERMA platform for FHE challenges ...

The cascades concept has emerged as a critical mechanism, particularly for large language models (LLMs). These cascades enable a smaller, ...

In our rapidly evolving digital world, the demand for instant gratification has never been higher. Whether we’re searching for information, ...