Large Language Model

Researchers at Imperial College London have conducted a comprehensive study highlighting the transformative potential of large language models (LLMs) such as GPT for automation and knowledge extraction in scientific research. They assert that LLMs like GPT can change how work is done in fields like materials science by reducing the time and expertise needed to…

Artificial intelligence (AI) has been a game changer in various fields, with Large Language Models (LLMs) proving to be vital in areas such as natural language processing and code generation. The race to improve these models has prompted new approaches focused on boosting their capabilities and efficiency, though this often requires great computational and data…

Recent advancements in text-to-image generation have been largely driven by diffusion models; however, these models often struggle to comprehend dense prompts with complex correlations and detailed descriptions. Addressing these limitations, the Efficient Large Language Model Adapter (ELLA) is presented as a novel method in the field. ELLA enhances the capabilities of diffusion models through the integration…

Advanced language models (ALMs) have significantly improved artificial intelligence's understanding and generation of human language. These developments reformed natural language processing (NLP) and led to various advancements in AI applications, such as enhancing conversational agents and automating complex text analysis tasks. However, training these models effectively remains a challenge due to heavy computation required and…

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…