Language Model

Large Language Models (LLMs) have shown impressive competencies across various disciplines, from generating unique content and answering questions to summarizing large text chunks, completing codes, and translating languages. They are considered one of the most significant advancements in Artificial Intelligence (AI). It is generally assumed that for LLMs to possess considerable mathematical abilities, they need…

Today's increasingly pervasive artificial intelligence (AI) technologies have given rise to concerns over the perpetuation of historically entrenched human biases, particularly within marginalized communities. New research by academics from the Allen Institute for AI, Stanford University, and the University of Chicago exposes a worrying form of bias rarely discussed before: Dialect Prejudice against speakers of…

Recent advancements in large language models (LLMs), which have revolutionized fields like healthcare, translation, and code generation, are now being leveraged to assist the legal domain. Legal professionals often grapple with extensive, complex documents, emphasizing the need for a dedicated LLM. To address this, researchers from several prestigious institutions—including Equall.ai, MICS, CentraleSupélec, and Université Paris-Saclay—have…

The 01.AI research team has introduced the Yi model family of Artificial Intelligence (AI) designed to bridge the gap between human language and visual perception. Uniquely, this model doesn't simply parse text or images individually; it combines both, demonstrating an unprecedented degree of multi-modal understanding. This ground-breaking technology's purpose is to mirror and extend human…

In the ever-evolving sphere of artificial intelligence, the study of large language models (LLMs) and how they interpret and process human language has provided valuable insights. Contrary to expectation, these innovative models represent concepts in a simple and linear manner. To demystify the basis of linear representations in LLMs, researchers from the University of Chicago…

A new multimodal system, created by scientists from the University of Waterloo and AWS AI Labs, uses text and images to create a more engaging and interactive user experience. The system, known as Multimodal Augmented Generative Images Dialogues (MAGID), improves upon traditional methods that have used static image databases or real-world sources, which can pose…

Artificial Intelligence researchers are continuously striving to create models that can think, reason, and generate outputs similar to the way humans solve complex problems. However, Large Language Models (LLMs), the current best attempt at such a feat, often struggle to maintain factual accuracy, especially in tasks that require a series of logical steps. This lack…