OpenAI has developed an AI model that can summarize books of arbitrary length
Kyle Wiggers writes in VentureBeat
"A fine-tuned version of the research lab's GPT-3, the model works by first summarizing small sections of a book and then summarizing those summaries into higher-level summaries, following a paradigm OpenAI calls 'recursive task decomposition.'
Summarizing book-length documents could be valuable in the enterprise, particularly for documentation-heavy industries like software development. A survey by SearchYourCloud found that workers take up to eight searches to find the right document, and McKinsey reports that employees spend 1.8 hours every day - 9.3 hours per week, on average - searching and gathering job-related information..."
While the U.S. is making strides in the advancement of AI use cases across industries, we have a long way to go before AI technologies are commonplace and truly ingrained in our daily life.
"What are the missing pieces?" asks Rob Lee in EnterpriseAI
. "Better data access and improved data sharing.
As our ability to address point applications and solutions with AI technology matures, we will need a greater ability to share data and insights while being able to draw conclusions across problem domains. Cooperation between individuals from government, research, higher education and the private sector to make greater data sharing feasible will drive acceleration of new use cases while balancing the need for data privacy.