In this contributed article, Dattaraj Rao, Innovation and R&D Architect at Persistent Systems, discusses the rise in interest for neutral network language models, specifically the recent Google PEGASUS model. This model not only shows remarkable promise when it comes to text summarization and synthesis, but its non-generalized approach could push industries such as healthcare to embrace NLP much earlier than was once supposed.
Have a Goal in Mind: GPT-3, PEGASUS, and New Frameworks for Text Summarization in Healthcare and BFSI
December 8, 2020 by
Why Humans Still Need to be Involved in Language-Based AI
November 11, 2020 by
In this contributed article, Christine Maroti, AI Research Engineer at Unbabel, believes that humans still need to be in the loop in most practical AI applications, especially in nuanced areas such as language. Despite the hype, these algorithms still have major flaws. Machines still fall short of understanding the meaning and intent behind human conversation. Not to mention, ethical concerns such as bias in AI still are far from a solution.
