This AI Paper from KAIST, UCL and KT Investigates the Acquisition and Retention of Factual Knowledge in Large Language Models

Researchers at UCLA have developed a method called Rephrase and Respond (RaR) to improve the performance of Language Model LLMs. RaR allows LLMs to rephrase and expand human questions in a single prompt, demonstrating effectiveness across…

Feast is an operational data system designed to manage and serve machine learning features, providing solutions for data leakage, feature engineering, and model deployment challenges. It offers an offline store for historical data processing, a low-latency…

Understanding Large Language Models (LLMs) Large Language Models (LLMs) are advanced tools that can understand and respond to user instructions. They use a method called transformer architecture to predict the next word in a sentence, allowing…

Revolutionizing AI with Mamba: A Survey of Its Capabilities and Future Directions Deep learning has transformed various domains, with Transformers standing out as a dominant architecture. However, the quadratic computational complexity of Transformers when processing lengthy…

The article discusses a new model called StructBERT that enhances the performance of BERT, a popular language model for natural language processing tasks. StructBERT modifies the pretraining objectives of BERT by introducing word sentence and sentence…

Practical Solutions and Value of HARP in Multi-Agent Reinforcement Learning Introduction to MARL and Its Challenges Multi-agent reinforcement learning (MARL) focuses on systems where multiple agents collaborate to tackle tasks beyond individual capabilities. It is crucial…

Generative Large Language Models (LLMs) have shown outstanding performance in various tasks. An effective LLM inference system, PowerInfer, designed for local deployments using a single consumer-grade GPU, significantly boosts LLM inference speed, achieving up to 11.69…

Practical AI Solutions for Real-Time Voice Processing Enhancing Communication and Efficiency With speech-to-speech technology, better communication and access within diverse applications are facilitated, including voice recognition, language processing, and speech synthesis. The focus is on creating…

SAG-AFTRA reached an agreement with Replica Studios allowing AI voices in video games, aiming to protect members amid AI advancements. The contract enables Replica to engage union members and outlines conditions and payments for the digital…

Advances in Vision-Language Models (VLMs) Practical Solutions and Value Recent progress in VLMs has demonstrated impressive common sense, reasoning, and generalization abilities, paving the way for the development of fully independent digital AI assistants. These assistants…

Mistral-7B-v0.1 is a cutting-edge large language model (LLM) developed by Mistral AI. With 7 billion parameters, it is one of the most powerful LLMs available. This transformer model excels in natural language processing tasks such as…

Dr. Sue Desmond-Hellmann, Nicole Seligman, and Fidji Simo have joined the board, while Sam Altman has rejoined.

PyTorch 2.5: Enhancing Machine Learning Efficiency Key Improvements The PyTorch community is dedicated to improving machine learning frameworks for researchers and AI engineers. The new PyTorch 2.5 release focuses on: Boosting computational efficiency Reducing startup times…

Understanding Autoregressive Large Language Models (LLMs) Yann LeCun, a leading AI expert, recently claimed that autoregressive LLMs have significant flaws. He argues that as these models generate text, the chance of producing a correct response decreases…

The research team behind QUILT-1M has introduced a groundbreaking solution to the scarcity of comprehensive datasets in histopathology. By leveraging educational histopathology videos on YouTube, they have curated a dataset of 1 million paired image-text samples.…

Practical Solutions for Document Understanding Introducing DocOwl2: A High-Resolution Compression Architecture Understanding multi-page documents and news videos is a common task in human daily life. To address this, Multimodal Large Language Models (MLLMs) need to understand…

Enhancing Instruction-Following AI Models with LIFT Artificial intelligence (AI) has made significant progress with the development of large language models (LLMs) that follow user instructions. These models aim to provide accurate and relevant responses to human…