Generative AI’s large language models (LLMs) solve many of the accuracy problems associated with simple NLP algorithms, making NLQ a viable option for answering complex business questions.

In widely spoken languages like Hindi and English that is relatively easy to get, but for others it is more difficult. "The main challenge to create Indian language models is the availability of data.

By embracing the different ways that employees express and receive love, organizations can show their appreciation in ways that are meaningful to each individual.

How can we make the best possible use of large language models for a smarter and more inclusive society? Date: September 20, 2024 Source: Max Planck Institute for Human Development Summary: Large ...

These days, it's not unusual to hear stories about people falling in love with artificial intelligence. People are not only ...

We may need synthetic data to remove language bias in the metaverse so that everyone has a voice -- not just those who shout the loudest.

Salon spoke to Frommer about how to create a convincing constructed language, the fan community of Na'vi speakers, and how he came up with idioms and metaphors for a fictional culture.

How can our body language send the right signals? We can tune in to what we're doing and make some changes.

Local View: Learn others' languages to create our future together From the column: "As we approach a divisive political election, a university (like UMD) can remind us that our best values aren ...