Large Language Models

Taking on Large Language Models: BigScience Workshop Tackles Innovation and Research for the 2022 Language AI Market

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

This Year in Language AI: Strides Towards Perfecting Language AI Communications

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 […]

Language AI getting better day by day

Language AI in the News: Closing the Gap to Human Communications

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 […]

Is AI Multilingual? How New Advances Could Be Pushing Past Language-specific Information Retrieval

Is AI Multilingual? How New Advances Could Be Pushing Past Language-specific Information Retrieval

What if multilingual AI truly had the ability to make assorted connections spanning a broad knowledge of the world sourced from hundreds of languages? When you enter a piece of text in Google Translate using the ‘Detect language’ feature, an algorithm able to recognize the belonging of specific words and patterns to various world languages selects one of many linguistic frameworks at its disposal, then begins the more linear natural language processing (NLP) task of translating your […]

Localizing Internal, Yet Global Communications

Localizing Internal, Yet Global Communications

Different companies have their distinct ideas about business best-practices, and the role internal communications have on a global scale. Outward engagement best practices vary from industry to industry, country to country, and even between sectors, and different emphases are put on different tactics to localize internal communications such as brand position, differentiation, and customer experience, […]

neural machine translation (NMT)

Disruptive So Far: Looking Back at Neural Machine Translation (NMT) Within Natural Language Processing

With news this week that Google has improved some of the key linguistic functionalities of its search engine’s machine learning algorithms – including an AI spell check improvement that Google’s head of search considers more important by itself than the previous five years’ progress – it is an interesting moment in the brief history of […]

NGO communications are getting more hyperlocal

Hyperlocality in the Age of WhatsApp

As governmental bodies determine their responses to the coronavirus pandemic, technology is reaching across nations to aid these efforts in a wide range of capacities, from supporting NGO communications to coordinating vaccine development efforts. In these times, information regularly crosses linguistic boundaries with the utmost urgency, and in response people all over the world have […]