​[[{“value”:” Language models (LMs) are advancing as tools for solving problems and as creators of synthetic data, playing a crucial role in enhancing AI capabilities. Synthetic data complements or replaces traditional manual annotation, offering scalable solutions for training models in domains such as mathematics, coding,… Read More »This AI Paper from CMU, KAIST and University of Washington Introduces AGORA BENCH: A Benchmark for Systematic Evaluation of Language Models as Synthetic Data Generators Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision-Language Models (VLMs) allow machines to understand and reason about the visual world through natural language. These models have applications in image captioning, visual question answering, and multimodal reasoning. However, most models are designed and trained predominantly for high-resource languages, leaving substantial gaps in… Read More »Meet Maya: An 8B Open-Source Multilingual Multimodal Model with Toxicity-Free Datasets and Cultural Intelligence Across Eight Languages Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Since the Industrial Revolution, burning fossil fuels and changes in land use, especially deforestation, have driven the rise in atmospheric carbon dioxide (CO2). While terrestrial vegetation and oceans serve as natural carbon sinks, absorbing some of this CO2, emissions have consistently outpaced their annual… Read More »Microsoft Research Introduces AI-Powered Carbon Budgeting Method: A Real-Time Approach to Tracking Global Carbon Sinks and Emission Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Google AI Research introduces Gemini 2.0 Flash, the latest iteration of its Gemini AI model. This release focuses on performance improvements, notably a significant increase in speed and expanded multimodal functionality. A key development in Gemini 2.0 Flash is its enhanced processing speed. Google… Read More »Google AI Releases Gemini 2.0 Flash: A New AI Model that is 2x Faster than Gemini 1.5 Pro Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. In addition to planning considerations when building an AI application from the ground up, it focused on our Account… Read More »How AWS sales uses Amazon Q Business for customer engagement Joe Travaglini AWS Machine Learning Blog

​[[{“value”:” Amazon Aurora PostgreSQL-Compatible Edition is a fully managed, PostgreSQL-compatible, ACID-aligned relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open source databases. Aurora PostgreSQL-Compatible is a drop-in replacement for PostgreSQL and makes it simple… Read More »Discover insights from your Amazon Aurora PostgreSQL database using the Amazon Q Business connector Moumita Dutta AWS Machine Learning Blog

​[[{“value”:” This post was co-written with Varun Kumar from Tealium Retrieval Augmented Generation (RAG) pipelines are popular for generating domain-specific outputs based on external data that’s fed in as part of the context. However, there are challenges with evaluating and improving such systems. Two open-source… Read More »How Tealium built a chatbot evaluation platform with Ragas and Auto-Instruct using AWS generative AI services Suren Gunturu AWS Machine Learning Blog

​[[{“value”:” EBSCOlearning offers corporate learning and educational and career development products and services for businesses, educational institutions, and workforce development organizations. As a division of EBSCO Information Services, EBSCOlearning is committed to enhancing professional development and educational skills. In this post, we illustrate how EBSCOlearning… Read More »EBSCOlearning scales assessment generation for their online learning content with generative AI Yasin Khatami AWS Machine Learning Blog

​Today, we’re announcing Gemini 2.0, our most capable multimodal AI model yet. Today, we’re announcing Gemini 2.0, our most capable multimodal AI model yet.  Read More  

​[[{“value”:” LG AI Research has released bilingual models expertizing in English and Korean based on EXAONE 3.5 as open source following the success of its predecessor, EXAONE 3.0. The research team has expanded the EXAONE 3.5 models, including three types designed for specific use cases:… Read More »LG AI Research Releases EXAONE 3.5: Three Open-Source Bilingual Frontier AI-level Models Delivering Unmatched Instruction Following and Long Context Understanding for Global Leadership in Generative AI Excellence Asif Razzaq Artificial Intelligence Category – MarkTechPost