This AI Research from Google Explains How They Trained a DIDACT Machine Learning ML Model to Predict Code Build Fixes
Softwares are developed through a series of iterative steps, including editing, unit testing, fixing build errors, and code reviews until the product is good enough to be added to a…
Exploring Model Training Platforms: Comparing Cloud, Central, Federated Learning, On-Device Machine Learning ML, and Other Techniques
Different training platforms have emerged to cater to diverse needs and constraints in the rapidly evolving machine learning (ML) field. Explore key training platforms: Cloud, Central, Federated Learning, On-Device ML,…
Twelve Labs Introduces Pegasus-1: A Multimodal Language Model Specialized in Video Content Understanding and Interaction through Natural Language
Improving comprehension and interaction capabilities of Large Language Models (LLMs) with video content is a major area of ongoing research and development. A major achievement in this field is Pegasus-1,…
CATS (Contextually Aware Thresholding for Sparsity): A Novel Machine Learning Framework for Inducing and Exploiting Activation Sparsity in LLMs
Large Language Models (LLMs) have transformed numerous AI applications, but they come with high operational costs during inference phases due to the computational power they require. Efficiency in LLMs remains…
Expel Leads in 2024 MarketScape for Worldwide Emerging MDR Services
Leading MDR provider lauded for AI-driven approach, transparency, and rapid alert triage, befitting organizations of any size or security maturity Expel, the leading managed detection and response (MDR) provider, today…
Enhancing AI Model’s Scalability and Performance: A Study on Multi-Head Mixture-of-Experts
Large capacity models, such as Large Language Models (LLMs) and Large Multi-modal Models (LMMs), have demonstrated effectiveness across various domains and tasks. Scaling up these models by increasing parameter count…
Neural Flow Diffusion Models (NFDM): A Novel Machine Learning Framework that Enhances Diffusion Models by Supporting a Broader Range of Forward Processes Beyond the Fixed Linear Gaussian
The probabilistic machine learning class, generative models, has many uses in different domains, including the visual and performing arts, the medical industry, and even physics. To generate new samples that…
Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with a Staggering 480B Parameters
Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility. This model…
Stanford HAI AI Index Report: Science and Medicine
While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Researching both the world around us…
Sanctuary AI unveils the Next Generation of AI Robotics
Generation 7 of ‘Phoenix’ robots include improved human-like range of motion Improvements in uptime, visual perception, and tactile sensing increase the capability of the system to perform complex tasks over…