Language models have been making headlines lately with their impressive capabilities in generating human-like text. But do these models go beyond superficial statistics and learn a coherent model of the data-generating process? …

Language models have revolutionized natural language processing tasks, enabling machines to understand and generate human-like text. However, deploying large language models (LLMs) in streaming applications, such as multi-round dialogue, has posed significant challenges. …

Language models have revolutionized natural language processing tasks, demonstrating impressive capabilities in generating coherent and contextually relevant text. However, a recent research paper titled “The Reversal Curse: Failure of Generalization in Auto-Regressive Large Language Models” sheds light on these models' limitations that hinder their ability to generalize in specific scenarios. …

Large language models (LLMs) have revolutionized natural language processing (NLP) and multimodal tasks, achieving remarkable success in various applications. However, their development faces two significant challenges: high computational cost and difficulty conducting fair and objective evaluations. …

Accurate prediction of human mobility is crucial for various applications, including epidemic modeling, transport planning, and emergency responses. However, due to the scarcity of mobility data and the unpredictable nature of people’s daily activities, achieving precise predictions of their locations remains a challenge. In a recent research paper titled “Where…

A Closer Look at Othello and Chess — Language models have become increasingly sophisticated, showcasing a wide range of capabilities. However, how these models achieve their apparent competence remains unclear. In an article, Andrew Ng raised whether language models understand the world. Medical AI Advances, Chatbots Work the Drive-Thru, and more The Batch — AI News & Insights: Do large language models understand the world? As a scientist and engineer, I’ve…www.deeplearning.ai

Large Language Models (LLMs) have made significant advancements in recent years, excelling in various tasks such as mathematical reasoning and program synthesis. However, their ability to effectively use tools via API calls has remained a challenge. …

Large language models (LLMs) have revolutionized natural language processing tasks but often suffer from high generation latency. A recent research paper titled “Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding” proposes a novel approach called “Skeleton-of-Thought” (SoT) to address this issue. …

Advances in Generative AI: Revolutionizing Industries and Creating Opportunities — Generative AI, a rapidly evolving field of artificial intelligence, is making significant strides in various industries. Recent research and developments highlight the potential of generative AI in transforming e-commerce, accounts payable automation, search engine results, drug discovery, and more. …