Recent advancements in Large Language Models (LLMs) have led to significant breakthroughs in various natural language processing tasks. However, generating factually consistent responses in knowledge-intensive scenarios remains a challenge due to issues such as hallucination, difficulty in acquiring long-tailed knowledge, and limited memory expansion. This paper introduces SMART, a novel multi-agent framework that leverages external knowledge to enhance the interpretability and factual consistency of LLM-generated responses. SMART comprises four specialized agents, each performing a specific sub-trajectory action to navigate complex knowledge-intensive tasks. We propose a multi-agent co-training paradigm, Long- and Short-Trajectory Learning, which ensures synergistic collaboration among agents while maintaining fine-grained execution by each agent. Extensive experiments on 5 tasks demonstrate SMART's superior performance compared to previous widely adopted methods.

Machine learning can get smarter by overcoming data quality, bias, complexity and maintenance issues. Organizations are dealing with huge amounts of data in the pandemic era. Machine learning is rapidly changing with the rise of the metaverse, quantum computing, NFTs and the internet of things (IoT). There are some key issues that are preventing machine learning from reaching its potential. Machine learning is a subset of artificial intelligence (AI), which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Forrester Vice President and Principal Analyst Kate Leggett blogged the emergence of what she calls "digital-first customer service solutions." These types of solutions are characterized as delivering automated interactions over digital channels. She contrasts these with what she calls traditional customer service solutions that offer workflow-based inquiries, case management, and guidance for customer service agents. Diverse sales models and the changing needs of both customers and the business means most companies will find themselves adopting a mix of both. And while these solutions might seem different, they share a key similarity: a dependence on workflow and automation, some of the fundamental building blocks in digital transformation.

Research in artificial intelligence (AI) has grown seven-fold since 1996 but India still lags woefully behind, according to a new report by Tata Communication Services (TCS). The Indian government does not have regulations to govern the development of AI and existing laws are ambiguous. Most people use artificial intelligence (AI) at least once a day to help them carry out a task. Even something as basic as Google Search has an AI-powered algorithm behind it to make it more efficient. Machines are only set to get smarter as more applications of AI come to light.

Brian Cantwell Smith is Reid Hoffman Professor of Artificial Intelligence and the Human at the Univer-sity of Toronto, where he is also Professor of Information, Philosophy, Cognitive Science, and the History and Philosophy of Science and Technology. His latest book is The Promise of Artificial Intelligence.

AIs can learn, and they can beat humans at sophisticated games--but they don't have the faculty of judgment

What are some underdeveloped areas in computer science research right now (2018)? Over the past few decades, computer science research, either in industry or academia, has led to ground breaking technology innovations such as the internet, which continues to change our lives. In the post-Moore's Law era, advances in cloud computing affected so many sub-areas of computer science like operating systems and database systems. Furthermore, solid state drives (SSDs) changed the way we design storage systems, which were previously tailored for the mechanical hard drive (HDD). Recently, quantum computing promises lightning-speed calculations as opposed to classic electronics-based computers.

I ran the 100 meter dash, and broke across the finish line in record time. As I danced around in victory, my enthusiasm was not diminished by the fact that I was 8-years-old, and my only opponents had been my asthmatic neighbor and a few action figures that hadn't moved from the starting line. By this metric, Assassin's Creed has also won a gold medal. It's the best video game movie I've seen to date, but as everyone knows, that's quite a low bar. Stacked up against the larger world of weird sci-fi outings and action blockbusters, it just doesn't hold up, and yes, once again we still are stuck at merely "decent," rather than becoming that eternally out-of-reach "great" video game movie adaptation.