LANGUAGE

Large language models are infamous for spewing toxic biases, thanks to the reams of awful human-produced content they get trained on.  But if the models are large enough, and humans have helped train them, then they may be able to self-correct for some of these biases. Remarkably, all we have to do is ask. That’s

Use Cases Janet makes a good system scripting language, or a language to embed in other programs. Janet also can be used for rapid prototyping, dynamic systems, and other domains where dynamic languages shine. Implemented mostly in standard C99, Janet runs on Windows, Linux and macOS. The few features that are not standard C (dynamic

February 11, 2023 8:20 AM Image Credit: Getty Images Check out all the on-demand sessions from the Intelligent Security Summit here. We are living at a historic moment. A new revolution, comparable to the Industrial Revolution, is underway. Entire industries are going to be disrupted. The nature of creativity and knowledge work is going to

I’ll say it—Valentine’s Day is a food holiday. Sure, on the surface it’s all about ooey gooey romance, but speaking practically, it all comes...

Koga, N. et al. Principles for designing ideal protein structures. Nature 491, 222–227 (2012).Article  CAS  Google Scholar  Lin, Y.-R. et al. Control over overall shape and size in de novo designed proteins. Proc. Natl Acad. Sci. USA 112, E5478–E5485 (2015).Article  CAS  Google Scholar  Huang, P.-S., Boyken, S. E. & Baker, D. The coming of age

A mysteryLarge Language Models (LLM) are on fire, capturing public attention by their ability to provide seemingly impressive completions to user prompts (NYT coverage). They are a delicate combination of a radically simplistic algorithm with massive amounts of data and computing power. They are trained by playing a guess-the-next-word game with itself over and over

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By Cara Murez HealthDay ReporterWEDNESDAY, Dec. 28, 2022 (HealthDay News) -- Many Asian American and Native Hawaiian/Pacific Islander adults may have trouble accessing health care and insurance because of language barriers, a new analysis indicates.In a new report by the Urban Institute and supported by the Robert Wood Johnson Foundation, researchers found that more than 30%