​[[{“value”:” As Large Language Models (LLMs) gain prominence in high-stakes applications, understanding their decision-making processes becomes crucial to mitigate potential risks. The inherent opacity of these models has fueled interpretability research, leveraging the unique advantages of artificial neural networks—being observable and deterministic—for empirical scrutiny. A… Read More »Deciphering Neuronal Universality in GPT-2 Language Models Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Existing web agents face limitations that stem from the fact that these agents often rely on a single input modality and are tested in controlled environments, like web simulators or static snapshots, which do not accurately reflect the complexity and dynamic nature of real-world… Read More »Meet WebVoyager: An Innovative Large Multimodal Model (LMM) Powered Web Agent that can Complete User Instructions End-to-End by Interacting with Real-World Websites Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision-Language Models (VLMs) are Artificial Intelligence (AI) systems that can interpret and comprehend visual and written inputs. Incorporating Large Language Models (LLMs) into VLMs has enhanced their comprehension of intricate inputs. Though VLMs have made encouraging development and gained significant popularity, there are still… Read More »This AI Paper from China Sheds Light on the Vulnerabilities of Vision-Language Models: Unveiling RTVLM, the First Red Teaming Dataset for Multimodal AI Security Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Text embedding refers to the process of transforming text into numerical representations that reside in a high-dimensional vector space. This technique is achieved through the use of ML algorithms that… Read More »Getting started with Amazon Titan Text Embeddings Jason Stehle AWS Machine Learning Blog

​[[{“value”:”Posted by Yang Zhao, Senior Software Engineer, and Tingbo Hou, Senior Staff Software Engineer, Core ML Text-to-image diffusion models have shown exceptional capabilities in generating high-quality images from text prompts. However, leading models feature billions of parameters and are consequently expensive to run, requiring powerful… Read More »MobileDiffusion: Rapid text-to-image generation on-device Google AI Google AI Blog

​[[{“value”:” Integrating artificial intelligence into software products marks a revolutionary shift in the technology field. As businesses race to incorporate advanced AI features, the creation of ‘product copilots’ has gained traction. These tools enable users to interact with software through natural language, significantly enhancing the… Read More »This AI Paper Unpacks the Trials of Embedding Advanced Capabilities in Software: A Deep Dive into the Struggles and Triumphs of Engineers Building AI Product Copilots Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Improving how users discover new content is critical to increase user engagement and satisfaction on media platforms. Keyword search alone has challenges capturing semantics and user intent, leading to results that lack relevant context; for example, finding date night or Christmas-themed movies. This can… Read More »Build a movie chatbot for TV/OTT platforms using Retrieval Augmented Generation in Amazon Bedrock Gaurav Rele AWS Machine Learning Blog

​[[{“value”:” This post was co-written with Ricardo Perdigao, Solution Architecture Manager at Mendix, a Siemens business. Mendix, a Siemens business, offers the low-code platform with the vision and execution designed for today’s complex software development challenges. Since 2005, we’ve helped thousands of organizations worldwide reimagine… Read More »How Mendix is transforming customer experiences with generative AI and Amazon Bedrock Ricardo Perdigao AWS Machine Learning Blog