This book provides a broad overview of Natural Language Generation (NLG), including technology, user requirements, evaluation, and real-world applications. The focus is on concepts and insights which hopefully will remain relevant for many years, not on the latest LLM innovations. It draws on decades of work by the author and others on NLG. The book has the following chapters: Introduction to NLG; Rule-Based NLG; Machine Learning and Neural NLG; Requirements; Evaluation; Safety, Maintenance, and Testing; and Applications. All chapters include examples and anecdotes from the author's personal experiences, and end with a Further Reading section. The book should be especially useful to people working on applied NLG, including NLG researchers, people in other fields who want to use NLG, and commercial developers. It will not however be useful to people who want to understand the latest LLM technology. There is a companion site with more information at https://ehudreiter.com/book/

The evolution towards 6G architecture promises a transformative shift in communication networks, with artificial intelligence (AI) playing a pivotal role. This paper delves deep into the seamless integration of Large Language Models (LLMs) and Generalized Pretrained Transformers (GPT) within 6G systems. Their ability to grasp intent, strategize, and execute intricate commands will be pivotal in redefining network functionalities and interactions. Central to this is the AI Interconnect framework, intricately woven to facilitate AI-centric operations within the network. Building on the continuously evolving current state-of-the-art, we present a new architectural perspective for the upcoming generation of mobile networks. Here, LLMs and GPTs will collaboratively take center stage alongside traditional pre-generative AI and machine learning (ML) algorithms. This union promises a novel confluence of the old and new, melding tried-and-tested methods with transformative AI technologies. Along with providing a conceptual overview of this evolution, we delve into the nuances of practical applications arising from such an integration. Through this paper, we envisage a symbiotic integration where AI becomes the cornerstone of the next-generation communication paradigm, offering insights into the structural and functional facets of an AI-native 6G network.

Teddy bears that read your children stories sounds like a premise for a horror film – but one expert says it will become a reality in just five years. Allan Wong, co-founder of toymaker VTech, thinks teddies will be fitted with AI that will offer an alternative to parents reading to their kids. Like a cross between ChatGPT and Furby, the toy would listen to everything the child says and use the data to create personalised bedtime tales just for them. AI-enabled teddies will likely be available in 2028, Wong said, although he admitted the possibilities of smart tech are'a little scary'. Smart toys by created Wong's firm have already been the subject of a Which?

BEIJING (Reuters) – The global buzz around Microsoft chatbot ChatGPT has spread to China, shoring up stocks in artificial intelligence (AI) related firms and prompting a flurry of local companies to announce rival projects. Like Microsoft and Google, Chinese tech giants such as Baidu and Alibaba as well as smaller start-ups have been working on AI projects for years. Chatbots in China mostly focus on social interactions whereas ChatGPT, which learns from vast amounts of data how to answer prompts by users in a human-like manner, performs better at more professional tasks, such as programming and essay writing. Baidu Inc said on Feb. 7 it would complete internal testing of a ChatGPT-style project called "Ernie Bot" in March. Alibaba Group on Feb. 8 said it is developing a ChatGPT-style tool currently in internal testing.

The James Webb space telescope cost $10bn (£8.3bn) to build, but it left Google nursing losses of more than $160bn after the search engine's new chatbot answered a question about it incorrectly. Google and Microsoft both announced plans for AI-enhanced search this week, taking the artificial intelligence space race into a new phase. However, the launch of the former's new chatbot, Bard, misfired badly when the error appeared in a demo. The competitor to the Microsoft-backed ChatGPT was asked about the telescope and one of the answers displayed said it "took the very first pictures of a planet outside of our own solar system". Experts were quick to notice the inaccuracy – as were investors.