​[[{“value”:” Theory of Mind (ToM) capabilities – the ability to attribute mental states and predict behaviors of others – have become increasingly critical as Large Language Models (LLMs) become more integrated into human interactions and decision-making processes. While humans naturally infer others’ knowledge, anticipate actions,… Read More »SimpleToM: Evaluating Applied Theory of Mind Capabilities in Large Language Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” MicroRNAs (miRNAs) play key roles in human diseases, including cancer and infectious diseases, by regulating gene expression. Modulating miRNAs or their gene targets with small molecules present a potential therapeutic approach for correcting disease-related cellular dysfunctions. However, predicting effective small molecules for specific miRNAs… Read More »sChemNET: A Deep Learning Framework for Predicting Small Molecule Modulators of miRNA Activity in Disease Treatment Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In a data-driven world, privacy and security have become pressing concerns for individuals and organizations alike. With data breaches and information misuse becoming alarmingly frequent, safeguarding sensitive information is critical. Among the most challenging aspects of data protection is managing Personally Identifiable Information (PII),… Read More »Meet PII Masker: An Open-Source Tool for Protecting Sensitive Data by Automatically Detecting and Masking PII Using Advanced AI Powered by DeBERTa-v3 Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Retrieval-augmented generation (RAG) systems, a key area of research in artificial intelligence, aim to enhance large language models (LLMs) by incorporating external sources of information for generating responses. This approach is particularly valuable in fields requiring accurate, fact-based answers, such as question-answering or information… Read More »ChunkRAG: An AI Framework to Enhance RAG Systems by Evaluating and Filtering Retrieved Information at the Chunk Level Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. Observability refers to the ability to understand the internal state and behavior of a system by analyzing… Read More »Empower your generative AI application with a comprehensive custom observability solution Ishan Singh AWS Machine Learning Blog

​[[{“value”:” Multimodal large language models (MLLMs) rapidly evolve in artificial intelligence, integrating vision and language processing to enhance comprehension and interaction across diverse data types. These models excel in tasks like image recognition and natural language understanding by combining visual and textual data processing into… Read More »Mini-InternVL: A Series of Multimodal Large Language Models (MLLMs) 1B to 4B, Achieving 90% of the Performance with Only 5% of the Parameters Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities… Read More »Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline Yanyan Zhang AWS Machine Learning Blog

​[[{“value”:” Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. These meetings often involve exchanging information and discussing actions that one or more parties must take after the session. The… Read More »Build a video insights and summarization engine using generative AI with Amazon Bedrock Simone Zucchet AWS Machine Learning Blog

​[[{“value”:” Enterprises in industries like manufacturing, finance, and healthcare are inundated with a constant flow of documents—from financial reports and contracts to patient records and supply chain documents. Historically, processing and extracting insights from these unstructured data sources has been a manual, time-consuming, and error-prone… Read More »Automate document processing with Amazon Bedrock Prompt Flows (preview) Erik Cordsen AWS Machine Learning Blog