SynthEval: A Novel Open-Source Machine Learning Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data

A team of researchers from various institutions has developed LLEMMA, a language model tailored for mathematics. LLEMMA models are specifically designed for mathematical tasks and represent a new state-of-the-art in publicly released base models for mathematics.…

In 2023, big tech companies, led by Microsoft, Google, and Amazon, dominated investment in generative AI startups, accounting for two-thirds of the $27 billion raised by emerging AI companies. This surge in investment has highlighted Silicon…

This week at the CES tech expo, AI took center stage as companies unveiled new products. Standout releases included LG and Samsung’s mobile smart home AI assistants and NVIDIA’s new chips for local AI processing. Additionally,…

“Large Language Models (LLMs) are powerful in AI but face challenges in efficiently using external tools. To address this, researchers introduce the ‘EASY TOOL’ framework, streamlining tool documentation for LLMs. It restructures, simplifies, and enhances tool…

MeshGPT is a novel AI method developed for directly generating high-fidelity triangle meshes without conversion. It uses a GPT-based architecture with a geometric vocabulary, outperforming existing mesh generation techniques. Users prefer MeshGPT for its quality and…

Learn how to accelerate feature selection, which typically involves creating multiple models and can be sluggish, thanks to the tips provided in the article on Towards Data Science.

TokenSet: A Dynamic Set-Based Framework for Semantic-Aware Visual Representation TokenSet: A Dynamic Set-Based Framework for Semantic-Aware Visual Representation Introduction In the realm of visual generation, traditional frameworks often face challenges in effectively compressing and representing images.…

ChatGPT Vision, with its new voice and image capabilities, offers numerous incredible ways for users to enhance their lives and businesses. Examples include building software by drawing a picture, recreating websites from screenshots, logic reasoning based…

This text discusses the importance of handling context in dialog understanding tasks and introduces MARRS, a Multimodal Reference Resolution System. MARRS is an on-device framework within a Natural Language Understanding system that manages conversational, visual, and…

Introduction to TXAGENT: Revolutionizing Precision Therapy with AI Precision therapy is becoming increasingly important in healthcare, as it customizes treatments to fit individual patient profiles. This approach aims to optimize health outcomes while minimizing risks. However,…

Guiding Instruction-based Image Editing via Multimodal Large Language Models Instruction-based image editing improves the controllability and flexibility of image manipulation via natural commands without elaborate descriptions or regional masks. Multimodal large language models (MLLMs) show promising…

NeRF models scenes in 3D and learns from various viewpoints to create photorealistic images. Researchers from Sungkyunkwan University improved efficiency with a mask strategy, reducing memory requirements and increasing speed. Point-based rendering enhancements and ongoing research…

Understanding Large Language Models (LLMs) and GUI Automation Large Language Models (LLMs) are powerful tools that help create intelligent agents capable of handling complex tasks. As more people interact with digital platforms, these models act as…

The text provides a tutorial on creating slopegraph visualizations to analyze technological trend shifts, focusing on the resurgence of interest in virtual reality and generative AI. It introduces Google Trends for market research and content planning…

Anthropic released Claude 3 Haiku, the fastest and most cost-effective AI model in its class. It outperforms competitors in speed and affordability, processing 21,000 tokens per second. Haiku also prioritizes enterprise-class security with strict testing and…

Researchers at Peking University and Microsoft have developed TREC (Text Reinforced Conditioning), a novel Text Diffusion model addressing challenges in natural language generation (NLG). TREC combats self-conditioning degradation and misalignment during sampling, delivering high-quality, contextually relevant…

Facial Emotion Recognition (FER) is crucial for improved human-machine interaction. Advances have shifted from manual feature extraction to deep learning models like CNNs and Vision Transformer models. A recent paper tackled FER challenges by developing a…