Maximizing Efficiency in AI Training: A Deep Dive into Data Selection Practices and Future Directions
The recent success of large language models relies heavily on extensive text datasets for pre-training. However, indiscriminate use of all available data may not be optimal due to varying quality.…
Revolutionizing AI: Introducing the Claude 3 Model Family for Enhanced Cognitive Performance
Artificial intelligence (AI) is rapidly evolving, with researchers tirelessly working to enhance its capabilities and applications. At the forefront of this innovation are generative models pushing the boundaries of what…
This AI Paper from CMU Introduce OmniACT: The First-of-a-Kind Dataset and Benchmark for Assessing an Agent’s Capability to Generate Executable Programs to Accomplish Computer Tasks
In an era of ubiquitous digital interfaces, the quest to refine the interaction between humans and computers has led to significant technological strides. A pivotal area of focus is automating…
Revolutionizing Image Quality Assessment: The Introduction of Co-Instruct and MICBench for Enhanced Visual Comparisons
Image Quality Assessment (IQA) is a method that standardizes the evaluation criteria for analyzing different aspects of images, including structural information, visual content, etc. To improve this method, various subjective…
Qualcomm AI Research Proposes the GPTVQ Method: A Fast Machine Learning Method for Post-Training Quantization of Large Networks Using Vector Quantization (VQ)
Efficiency of Large Language Models (LLMs) is a focal point for researchers in AI. A groundbreaking study by Qualcomm AI Research introduces a method known as GPTVQ, which leverages vector…
AIs in India will need government permission before launching
In an advisory issued by India’s Ministry of Electronics and Information Technology (MeitY) last Friday, it was declared that any AI technology still in development must acquire explicit government permission…
This Machine Learning Paper from Microsoft Proposes ChunkAttention: A Novel Self-Attention Module to Efficiently Manage KV Cache and Accelerate the Self-Attention Kernel for LLMs Inference
Developing large language models (LLMs) in artificial intelligence represents a significant leap forward. These models underpin many of today’s advanced natural language processing tasks and have become indispensable tools for…
Google at APS 2024
Posted by Kate Weber and Shannon Leon, Google Research, Quantum AI Team Today the 2024 March Meeting of the American Physical Society (APS) kicks off in Minneapolis, MN. A premier…
Coalition for Health AI (CHAI) names Board of Directors and CEO
CHAI General Membership, Advisory Boards and Working Groups Target Broad Participation Across U.S. Healthcare System and Communities Today CHAI, the Coalition for Health AI, announced Dr. Brian S. Anderson, a CHAI…
Agility Robotics appoints Peggy Johnson as Chief Executive Officer
Veteran technology leader to spur broad commercial adoption as company prepares to deploy Digit robot at scale Agility Robotics, creator of the market-leading bipedal Mobile Manipulation Robot (MMR) called Digit,…