Amid tales of language AI that can write its own poetry, crack its own jokes, and spin up a plausible, if not realistic, response to prompts that we usually expect people to struggle with, it is easy to wonder what practical good there is in such intensive development of natural language processing (NLP) systems while […]
As we have explored extensively in our recent posts on advancing language AI, the most dynamic developments in areas like NLG and NLP have tended to come via large language models (LLMs) that require massive and high-quality datasets to train, which naturally favors large companies and software groups who alone manage access to these datasets. […]
This year in language AI, we have followed many newsworthy developments in natural language processing (NLP), natural language generation (NLG), and natural language understanding (NLU), highlighting the most impressive trends and technological advancements in the process of machine learning (ML) for language-based applications. Throughout this discussion, our focus has been on the effectiveness of these […]
At CSOFT and in households across the world, holiday films have a way of reminding us why we celebrate at this special time of year. For two decades at CSOFT, celebrating the holiday season as a global team has been at the core of our company’s culture, from sharing our favorite recipes in cookbooks like […]
Modern language AI is advancing at an unprecedented pace as innovation and research drives developers to create state-of-the-art language models that continue to inch closer to natural human speech patterns and cognitive reasoning. In our ongoing discussion on language AI and natural language processing (NLP), we have discussed ways in which these technologies have expanded […]
As AI technology expands into new markets, how effective is language AI at performing its job in new languages? For anyone following our series on language AI, the expansion of language functions and new opportunities for deployment of this technology in both foreign and domestic markets has clear and difficult challenges. As companies and researchers […]
Two weeks ago, in our ongoing discussion on advancements in AI language functions and capabilities, we looked at Nvidia’s announcement on its development of the world’s most powerful natural language generation (NLG) model to date, surpassing GPT-3 as the latest high-powered text generator model. Following suit, Nvidia this week has made the decision to offer […]
As we recently discussed in our ongoing look at linguistic AI, natural language processing (NLP) is an established technology with astonishing real-world applications in areas such as machine translation that nevertheless seems often to be on the sidelines of newsworthy developments in more experimental areas like natural language generation (NLG). Now, however, NLP is getting a new infusion from the cutting-edge of computer science with reports from Cambridge Quantum on their development of […]
Over the past year, anyone following our series on language AI is likely familiar with the GTP-3 language model. As far as natural language generation (NLG) goes, the GTP-3 represents a new era of superior language AI. But now, it is not alone. When given abstract prompts, the GTP-3 showcased its ability to reflect human […]
A lot has been happening in the month since our last look at the state of language AI, but many of the core themes we explored in July continue to circulate the news. Toward the question of how AI learns that we took up in our look at the significance of analogies, a novel study […]
What do human linguists have that linguistic AI doesn’t? No longer a question just for the localization industry and machine translation, how well AI can replace people in communications is a shifting story in the world at large, and often a sensationalist one. A long view of developments suggests the true answer to what AI lacks is much more elusive than any one type of computational power, but the search for a specific mechanism is important not only to computer science but also psychology and biology today, as discovery continues […]
In our ongoing exploration of linguistic AI, how close to life the creations of a neural network can come is a persistent question for both machine translation and more experimental fields like natural language generation (NLG), simply in terms of whether any living person would communicate the way these machines do. But as algorithms like […]
