Artists added to resubmitted Stability AI, Midjourney lawsuit

Researchers in Japan have developed a two-legged biohybrid robot inspired by human gait, using a combination of muscle tissues and artificial materials. The robot is capable of walking, pivoting, and efficiently converting energy into movement, harnessing…

Google’s Bard now powered by Gemini Pro offers free chatbot services in over 40 languages and 230 countries. With advanced understanding and image generation using Imagen 2 model, Bard closes the gap with other AI chatbots…

Advancements in ML and AI require enterprises to continuously adapt, focusing on robust MLOps for effective governance and agility. Capital One emphasizes the importance of standardized tools, inter-team communication, business-aligned tool development, collaborative expertise, and a…

Understanding VLM2VEC and MMEB: A New Era in Multimodal AI Understanding VLM2VEC and MMEB: A New Era in Multimodal AI Introduction to Multimodal Embeddings Multimodal embeddings integrate visual and textual data, allowing systems to interpret and…

A new method called COLMAP-Free 3D Gaussian Splatting (CF-3DGS) has been introduced by researchers from UC San Diego, NVIDIA, and UC Berkeley. It synthesizes views using video’s temporal continuity and explicit point cloud representation without the…

Apple researchers have developed an innovative approach to efficiently run large language models (LLMs) on devices with limited memory. Their method involves storing LLM parameters on flash memory and selectively transferring data to DRAM as needed,…

Advancing MLLMs Through Realistic Chart Understanding Benchmarks Practical Solutions and Value: Multimodal large language models (MLLMs) integrate NLP and computer vision, essential for analyzing visual and textual data in scientific papers and financial reports. Enhancing MLLMs’…

KOSMOS-G is an AI model developed by researchers at Microsoft Research, New York University, and the University of Waterloo. It can generate detailed images from text descriptions and multiple pictures. It uses a combination of pre-training…

Understanding Large Reasoning Models Large reasoning models help solve complex problems by breaking them into smaller, manageable tasks. They use reinforcement learning to improve their reasoning skills and generate detailed solutions. However, this process can lead…

Enhancing LLM Reliability: Detecting Confabulations with Semantic Entropy Practical Solutions and Value Highlights: Researchers have developed a statistical method to detect errors in Language Model Models (LLMs), known as “confabulations,” which are arbitrary and incorrect responses.…

Researchers at Cohere have introduced a pioneering development in the Mixture of Experts (MoE) architecture, addressing scalability issues in AI models. The innovative MoE variant demonstrates superior parameter efficiency, outperforming traditional techniques in fine-tuning instructions. Their…

This post showcases fine-tuning a large language model (LLM) using Parameter-Efficient Fine-Tuning (PEFT) and deploying the fine-tuned model on AWS Inferentia2. It discusses using the AWS Neuron SDK to access the device and deploying the model…

SpaceEvo is a novel method introduced by Microsoft researchers to automatically create specialized search spaces for efficient INT8 inference on specific hardware platforms. It offers hardware-specific, quantization-friendly neural network models and outperforms manually designed search spaces.…

Understanding Large Language Models (LLMs) for Question Generation Large Language Models (LLMs) help create questions based on specific facts or contexts. However, assessing the quality of these questions can be challenging. Questions generated by LLMs often…