​[[{“value”:” Generative models of tabular data are key in Bayesian analysis, probabilistic machine learning, and fields like econometrics, healthcare, and systems biology. Researchers have developed methods to learn probabilistic models for such data automatically. To leverage these models for complex tasks, users must seamlessly integrate… Read More »GenSQL: A Generative AI System for Databases that Advances Probabilistic Programming for Integrated Tabular Data Analysis Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Creating datasets for training custom AI models can be a challenging and expensive task. This process typically requires substantial time and resources, whether it’s through costly API services or manual data collection and labeling. The complexity and cost involved can make it difficult for… Read More »Augmentoolkit: An AI-Powered Tool that Lets You Create Domain-Specific Using Open-Source AI Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text-to-image generation models have gained traction with advanced AI technologies, enabling the generation of detailed and contextually accurate images based on textual prompts. The rapid development in this field has led to numerous models, such as DALLE-3 and Stable Diffusion, designed to translate text… Read More »MJ-BENCH: A Multimodal AI Benchmark for Evaluating Text-to-Image Generation with Focus on Alignment, Safety, and Bias Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Patronus AI has announced the release of Lynx. This cutting-edge hallucination detection model promises to outperform existing solutions such as GPT-4, Claude-3-Sonnet, and other models used as judges in closed and open-source settings. This groundbreaking model, which marks a significant advancement in artificial intelligence,… Read More »Patronus AI Introduces Lynx: A SOTA Hallucination Detection LLM that Outperforms GPT-4o and All State-of-the-Art LLMs on RAG Hallucination Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of English as a Foreign Language (EFL) focuses on equipping non-native speakers with the skills to communicate effectively in English. One critical aspect of this education is developing students’ oral presentation abilities. These skills are important for academic & professional success, enabling… Read More »KAIST Researchers Introduce CHOP: Enhancing EFL Students’ Oral Presentation Skills with Real-Time, Personalized Feedback Using ChatGPT and Whisper Technologies Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning, particularly DNNs, plays a pivotal role in modern technology, influencing innovations like AlphaGo and ChatGPT and integrating them into consumer products such as smartphones and autonomous vehicles. Despite their widespread applications in computer vision and natural language processing, DNNs are often criticized… Read More »Mapping Neural Networks to Graph Structures: Enhancing Model Selection and Interpretability through Network Science Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” FlashAttention-3, the latest release in the FlashAttention series, has been designed to address the inherent bottlenecks of the attention layer in Transformer architectures. These bottlenecks are crucial for the performance of large language models (LLMs) and applications requiring long-context processing. The FlashAttention series, including… Read More »FlashAttention-3 Released: Achieves Unprecedented Speed and Precision with Advanced Hardware Utilization and Low-Precision Computing Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” NVIDIA is taking an array of advancements in rendering, simulation and generative AI to SIGGRAPH 2024, the premier computer graphics conference, which will take place July 28 – Aug. 1 in Denver. More than 20 papers from NVIDIA Research introduce innovations advancing synthetic data… Read More »Mile-High AI: NVIDIA Research to Present Advancements in Simulation and Gen AI at SIGGRAPH Aaron Lefohn – Archives Page 1 | NVIDIA Blog

​[[{“value”:” One of the emerging challenges in artificial intelligence is whether next-token prediction can truly model human intelligence, particularly in planning and reasoning. Despite its extensive application in modern language models, this method might be inherently limited when it comes to tasks that require advanced… Read More »Beyond Next-Token Prediction: Overcoming AI’s Foresight and Decision-Making Limits Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision-language models have evolved significantly over the past few years, with two distinct generations emerging. The first generation, exemplified by CLIP and ALIGN, expanded on large-scale classification pretraining by utilizing web-scale data without requiring extensive human labeling. These models used caption embeddings obtained from… Read More »Google DeepMind Unveils PaliGemma: A Versatile 3B Vision-Language Model VLM with Large-Scale Ambitions Mohammad Asjad Artificial Intelligence Category – MarkTechPost