​[[{“value”:” Document Visual Question Answering (DocVQA) is a branch of visual question answering that focuses on answering queries about the contents of documents. These documents can take several forms, including scanned photographs, PDFs, and digital documents with text and visual features. However, there are few… Read More »HuggingFace Researchers Introduce Docmatix: A Dataset For Document Visual Question Answering Containing 2.4 Million Pictures And 9.5 Million Q/A Pairs Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Battling Social Media Algorithmic God Worship Continue reading on Becoming Human: Artificial Intelligence Magazine »  Battling Social Media Algorithmic God WorshipContinue reading on Becoming Human: Artificial Intelligence Magazine »  Read More self-improvement, technology, artificial-intelligence, algorithms, social-media 

​[[{“value”:” Like almost any question about AI, “How does AI impact software architecture?” has two sides to it: how AI changes the practice of software architecture and how AI changes the things we architect. These questions are coupled; one can’t really be discussed without the… Read More »Software Architecture in an AI World Mike Loukides AI & ML – Radar

​[[{“value”:” Recent advances in large language models (LLMs) have made it possible to use LLM agents in many areas, including safety-critical ones like finance, healthcare, and self-driving cars. Usually, these agents use an LLM to understand tasks for making plans, and they can use external… Read More »AgentPoison: A Novel Red Teaming Approach and Backdoor Attack Targeting Generic and RAG-based LLM Agents by Poisoning their Long-Term Memory or RAG Knowledge Base Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Effectively evaluating document instruction data for training large language models (LLMs) and multimodal large language models (MLLMs) in document visual question answering (VQA) presents a significant challenge. Existing methods are primarily text-oriented, focusing on the textual content of instructions rather than the execution process,… Read More »ProcTag: A Data-Oriented AI Method that Assesses the Efficacy of Document Instruction Data Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Securing their products is a challenge for businesses. Teams are inundated with false positives from current Static Application Security Testing (SAST) technologies, and those identifying vulnerabilities cannot be fixed. Meet ZeroPath, a GitHub app that detects, verifies, and issues pull requests for security vulnerabilities… Read More »Meet ZeroPath: A GitHub App that Detects, Verifies, and Issues Pull Requests for Security Vulnerabilities in Your Code Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” On-call shifts can be very stressful for engineers. When something goes wrong in a system, the person on call has to figure out the problem and fix it quickly. This often means going through lots of logs and data, which takes time and can… Read More »Merlinn: An Open-Source LLM-Powered-On-Call Copilot AI Engineer that Automatically Listens to Production Incidents and Resolves It for You Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI and ML in Untargeted Metabolomics and Exposomics: Metabolomics employs a high-throughput approach to measure a variety of metabolites and small molecules in biological samples, providing crucial insights into human health and disease. One application, untargeted metabolomics, allows for an unbiased global analysis of… Read More »Leveraging AI and Machine Learning ML for Untargeted Metabolomics and Exposomics: Advances, Challenges, and Future Directions Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A major development in artificial intelligence, multimodal large language models (MLLMs) combine verbal and visual comprehension to produce more accurate representations of multimodal inputs. Through the integration of data from multiple sources, including text and images, these models improve understanding of intricate relationships between… Read More »Microsoft Research Introduces E5-V: A Universal AI Framework for Multimodal Embeddings with Single-Modality Training on Text Pairs Nikhil Artificial Intelligence Category – MarkTechPost