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Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing (NLP) tasks, such as machine translation and question-answering. However, a significant challenge remains in understanding the theoretical underpinnings of their performance. Specifically, there is a lack of a comprehensive framework that explains how LLMs generate contextually relevant and coherent… Read more

More than 200 health care facilities in impacted areas are moving patients and residents in what the state’s chief of emergency medical oversight calls “our largest evacuation ever.” Read more

Gravity, Children of Men, the best Harry Potter movie—and now a seven-part miniseries? With Disclaimer, director Alfonso Cuarón has set out to conquer TV in the name of cinema. Read more

When it comes to AI, the fear of missing out is real. According to research by Coleman Parkes Research on behalf of Riverbed, 91% of decision-makers at large companies are concerned their competitors will have an advantage if they get ahead with AI. So it’s no surprise that every respondent said that when it comes… Read more

Electrocuting himself with a screwdriver in the back of a prototype computer when he was very young sparked Steve James’ interest in technology. Fast forward several years and what attracted him most to pursue a career in it was the strategy, leadership, and passion to bring people into the industry. Once at Woolworths, and now… Read more

“If you want to go fast, go alone. If you want to go far, go together”: This African proverb aptly describes how multi-agent systems outperform regular individual LLMs in various reasoning, creativity, and aptitude tasks. Multi-agent(MA) systems harness the collective intelligence of multiple instances of LLMs via meticulously designed communication topologies. Its outcomes are fascinating,… Read more

Autonomous AI will operate with minimal human oversight, improve itself, and become increasingly effective at decision-making in complex environments. Ignore it and your business will lose. Read more

Text retrieval in machine learning faces significant challenges in developing effective methods for indexing and retrieving documents. Traditional approaches relied on sparse lexical matching methods like BM25, which used n-gram frequencies. However, these statistical models have limitations in capturing semantic relationships and context. The primary neural method, a dual encoder architecture, encodes documents and queries… Read more

Google’s Gemini Coding Assistant Enterprise understands an enterprise’s codebase and offers control over data.Read More Read more

The 2024 Nobel Prize in Physics has been awarded to two pioneering figures in the field of artificial intelligence: John J. Hopfield of Princeton University and Geoffrey E. Hinton of the University of Toronto. They were recognized for their groundbreaking work in developing foundational machine learning technologies using artificial neural networks—work that has had a… Read more