The search to harness the full potential of artificial intelligence has led to groundbreaking research at the intersection of reinforcement learning (RL) and Large Language Models (LLMs). Reinforcement learning has been a playground for algorithms that learn through...

As the capabilities of artificial intelligence (AI) continue to expand, so too does its appetite for energy. The intersection of AI’s potential to revolutionize industries and its environmental impact presents a paradox that the tech world is eager to solve. Among the...

Information Retrieval (IR) involves technologies and models that allow users to extract relevant information from large datasets. This field has evolved significantly with modern computational techniques, facilitating more efficient and precise search capabilities...

Graph neural networks (GNNs) have revolutionized how researchers analyze and learn from data structured in complex networks. These models capture the intricate relationships inherent in graphs, which are omnipresent in social networks, molecular structures, and...

Large Language Models (LLMs) have demonstrated remarkable versatility in handling various language-centric applications. To extend their capabilities to multimodal inputs, Multimodal Large Language Models (MLLMs) have gained significant attention. These models are...

In a bold move that signals a potential shift in the digital voice assistant market, OpenAI, the maker of ChatGPT, has filed a trademark application for a tool named “Voice Engine.” This strategic step could position OpenAI as a tough competitor to established tech...