Large language models (LLMs) are considered a crucial technology for advancing intelligent education since they exhibit the potential for an in-depth understanding of teaching scenarios and providing students with personalized guidance. Nonetheless, current LLM-based application in personalized teaching predominantly follows a "Question-Answering" paradigm, where students are passively provided with answers and explanations. In this paper, we propose SocraticLM, which achieves a Socratic "Thought-Provoking" teaching paradigm that fulfills the role of a real classroom teacher in actively engaging students in the thought

INDICT: a new framework that empowers LLMs with Internal Dialogues of Critiques for both safety and helpfulness guidance.

Meta Tells Its Metaverse Workers to Use AI to'Go 5X Faster' Mark Zuckerberg's metaverse chief is urging employees to adopt AI across every workflow as part of a broader shift inside the company. Meta CEO Mark Zuckerberg says most of the company's code will be written by AI in the next 18 months. A Meta executive in charge of building the company's metaverse products told employees that they should be using AI to "go 5X faster" according to an internal message obtained by 404 Media. "Metaverse AI4P: Think 5X, not 5%," the message, posted by Vishal Shah, Meta's VP of Metaverse, said (AI4P is AI for Productivity). The idea is that programmers should be using AI to work five times more efficiently than they are currently working--not just using it to go 5 more efficiently.

For example, we achieve a Wikitext2 perplexity of 5.95 on the LLaMA2-70B

Accurately modeling weather variation pattern from large amount of meteorological variables sequences is increasingly vital for providing efficient weather analysis support for disaster warning.

AR baseline by improving Fréchet inception distance (FID) from 18.65 to 1.73, inception score (IS) from 80.4 to 350.2, with 20