​[[{“value”:” Large language models (LLMs) excel in generating contextually relevant text; however, ensuring compliance with data privacy regulations, such as GDPR, requires a robust ability to unlearn specific information effectively. This capability is critical for addressing privacy concerns where data must be entirely removed from… Read More »This AI Paper from UCSD and CMU Introduces EDU-RELAT: A Benchmark for Evaluating Deep Unlearning in Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision-and-language models (VLMs) are important tools that use text to handle different computer vision tasks. Tasks like recognizing images, reading text from images (OCR), and detecting objects can be approached as answering visual questions with text responses. While VLMs have shown limited success on… Read More »UC Berkeley Researchers Explore the Role of Task Vectors in Vision-Language Models Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have revolutionized artificial intelligence with their remarkable scalability and adaptability. Models like GPT-4 and Claude, built with trillions of parameters, demonstrate exceptional performance across diverse tasks. However, their monolithic design comes with significant challenges, including high computational costs, limited flexibility, and difficulties in… Read More »Composition of Experts: A Modular and Scalable Framework for Efficient Large Language Model Utilization Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Snowflake recently announced the launch of Arctic Embed L 2.0 and Arctic Embed M 2.0, two small and powerful embedding models tailored for multilingual search and retrieval. The Arctic Embed 2.0 models are available in two distinct variants: medium and large. Based on Alibaba’s… Read More »Snowflake Releases Arctic Embed L 2.0 and Arctic Embed M 2.0: A Set of Extremely Strong Yet Small Embedding Models for English and Multilingual Retrieval Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language Agents (LAs) have recently become the focal point of research and development because of the significant advancement in large language models (LLMs). LLMs have demonstrated significant advancements in understanding and producing human-like text. LLMs perform various tasks with great performance and accuracy. Through… Read More »Exploring Adaptivity in AI: A Deep Dive into ALAMA’s Mechanisms Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:”This paper was accepted for presentation at the International Workshop on Federated Foundation Models (FL@FM-NeurIPS’24), held in conjunction with NeurIPS 2024. Asynchronous protocols have been shown to improve the scalability of federated learning (FL) with a massive number of clients. Meanwhile, momentum-based methods can achieve… Read More »Momentum Approximation in Asynchronous Private Federated Learning Apple Machine Learning Research

​[[{“value”:” Clear communication can be surprisingly difficult in today’s audio environments. Background noise, overlapping conversations, and the mix of audio and video signals often create challenges that disrupt clarity and understanding. These issues impact everything from personal calls to professional meetings and even content production.… Read More »Alibaba Speech Lab Releases ClearerVoice-Studio: An Open-Sourced Voice Processing Framework Supporting Speech Enhancement, Separation, and Target Speaker Extraction Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision models are pivotal in enabling machines to interpret and analyze visual data. They are integral to tasks such as image classification, object detection, and segmentation, where raw pixel values from images are transformed into meaningful features through trainable layers. These systems, including convolutional… Read More »Researchers at Stanford University Introduce TrAct: A Novel Optimization Technique for Efficient and Accurate First-Layer Training in Vision Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Question answering (QA) emerged as a critical task in natural language processing, designed to generate precise answers to complex queries across diverse domains. Within this, medical QA poses unique challenges, focusing on the complex nature of healthcare information processing. Medical scenarios demand complex reasoning… Read More »Retrieval-Augmented Reasoning Enhancement (RARE): A Novel Approach to Factual Reasoning in Medical and Commonsense Domains Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Global-MMLU by researchers from Cohere For AI, EPFL, Hugging Face, Mila, McGill University & Canada CIFAR AI Chair, AI Singapore, National University of Singapore, Cohere, MIT, KAIST, Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, MIT, MIT-IBM Watson AI Lab, Carnegie Mellon University,… Read More »Global-MMLU: A World-class Benchmark Redefining Multilingual AI by Bridging Cultural and Linguistic Gaps for Equitable Evaluation Across 42 Languages and Diverse Contexts Sana Hassan Artificial Intelligence Category – MarkTechPost