​[[{“value”:” Embedding models act as bridges between different data modalities by encoding diverse multimodal information into a shared dense representation space. There have been advancements in embedding models in recent years, driven by progress in large foundation models. However, existing multimodal embedding models are trained… Read More »VLM2Vec-V2: A Unified Computer Vision Framework for Multimodal Embedding Learning Across Images, Videos, and Visual Documents Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The landscape of artificial intelligence continues to evolve rapidly, with breakthroughs that push the boundaries of what models can achieve in reasoning, efficiency, and application versatility. The latest release from NVIDIA—the Llama Nemotron Super v1.5—represents a remarkable leap in both performance and usability, especially for… Read More »NVIDIA AI Dev Team Releases Llama Nemotron Super v1.5: Setting New Standards in Reasoning and Agentic AI Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language model users often ask questions without enough detail, making it hard to understand what they want. For example, a question like “What book should I read next?” depends heavily on personal taste. At the same time, “How do antibiotics work?” should be answered… Read More »Why Context Matters: Transforming AI Model Evaluation with Contextualized Queries Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Reasoning Models (LRMs) have rapidly advanced, exhibiting impressive performance in complex problem-solving tasks across domains like mathematics, coding, and scientific reasoning. However, current evaluation approaches primarily focus on single-question testing, which reveals significant limitations. This article introduces REST (Reasoning Evaluation through Simultaneous Testing) — a… Read More »REST: A Stress-Testing Framework for Evaluating Multi-Problem Reasoning in Large Reasoning Models Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The discipline of epigraphy, focused on studying texts inscribed on durable materials like stone and metal, provides critical firsthand evidence for understanding the Roman world. The field faces numerous challenges including fragmentary inscriptions, uncertain dating, diverse geographical provenance, widespread use of abbreviations, and a… Read More »Google DeepMind Introduces Aeneas: AI-Powered Contextualization and Restoration of Ancient Latin Inscriptions Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advancements in artificial intelligence are rapidly closing the gap between digital reasoning and real-world interaction. At the forefront of this progress is embodied AI—the field focused on enabling robots to perceive, reason, and act effectively in physical environments. As industries look to automate complex… Read More »RoboBrain 2.0: The Next-Generation Vision-Language Model Unifying Embodied AI for Advanced Robotics Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have demonstrated exceptional performance across multiple tasks by utilizing few-shot inference, also known as in-context learning (ICL). The main problem lies in selecting the most representative demonstrations from large training datasets. Early methods selected demonstrations based on relevance using similarity scores between each… Read More »FEEDER: A Pre-Selection Framework for Efficient Demonstration Selection in LLMs Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Legal teams spend bulk of their time manually reviewing documents during eDiscovery. This process involves analyzing electronically stored information across emails, contracts, financial records, and collaboration systems for legal proceedings. This manual approach creates significant bottlenecks: attorneys must identify privileged communications, assess legal risks,… Read More »Build an intelligent eDiscovery solution using Amazon Bedrock Agents Puneeth Komaragiri Artificial Intelligence

​[[{“value”:” This post is co-written with Bogdan Arsenie and Nick Mattei from PerformLine. PerformLine operates within the marketing compliance industry, a specialized subset of the broader compliance software market, which includes various compliance solutions like anti-money laundering (AML), know your customer (KYC), and others. Specifically,… Read More »How PerformLine uses prompt engineering on Amazon Bedrock to detect compliance violations  Bogdan Arsenie, Nick Mattei Artificial Intelligence