​[[{“value”:” Customers across all industries are experimenting with generative AI to accelerate and improve business outcomes. Generative AI is used in various use cases, such as content creation, personalization, intelligent assistants, questions and answers, summarization, automation, cost-efficiencies, productivity improvement assistants, customization, innovation, and more. Generative… Read More »Dive deep into vector data stores using Amazon Bedrock Knowledge Bases Vishwa Gupta AWS Machine Learning Blog

​[[{“value”:” Generating accurate and aesthetically appealing visual texts in text-to-image generation models presents a significant challenge. While diffusion-based models have achieved success in creating diverse and high-quality images, they often struggle to produce legible and well-placed visual text. Common issues include misspellings, omitted words, and… Read More »Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Information Retrieval (IR) systems for search and recommendations often utilize Learning-to-Rank (LTR) solutions to prioritize relevant items for user queries. These models heavily depend on user interaction features, such as clicks and engagement data, which are highly effective for ranking. However, this reliance presents… Read More »Apple Researchers Propose BayesCNS: A Unified Bayesian Approach Tackling Cold Start and Non-Stationarity in Large-Scale Search Systems Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” While writing the code for any program or algorithm, developers can struggle to fill gaps in incomplete code and often make mistakes while trying to fit new pieces into existing code snippets or structures. These challenges arise from the difficulty of fitting the latest… Read More »Are LLMs Failing to Match with Suffix in Fill-in-the-Middle (FIM) Code Completion? Horizon-Length Prediction: A New AI Training Task to Advance FIM by Teaching LLMs to Plan Ahead over Arbitrarily Long Horizons Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have emerged as powerful tools capable of performing complex tasks beyond text generation, including reasoning, tool learning, and code generation. These advancements have sparked significant interest in developing LLM-based language agents to automate scientific discovery processes. Researchers are exploring the… Read More »ScienceAgentBench: A Rigorous AI Evaluation Framework for Language Agents in Scientific Discovery Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Table understanding has gained attention due to its critical role in enabling language models (LMs) to effectively process and interpret structured data. Leveraging LMs to analyze tabular data helps perform complex operations like question answering, semantic reasoning, and information extraction. Despite these advances, handling… Read More »TableRAG: A Retrieval-Augmented Generation (RAG) Framework Specifically Designed for LM-based Table Understanding Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s tech-driven world, data science and machine learning are often used interchangeably. However, they represent distinct fields. This article explores the differences between data science vs. machine learning, highlighting their key functions, roles, and applications. What is Data Science? Data science is the… Read More »Data Science vs. Machine Learning: What’s the Difference? Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advanced Micro Devices (AMD) has made a bold move in the competitive AI hardware market by launching its new MI325x AI chip, a powerful accelerator aimed squarely at rivaling Nvidia’s latest Blackwell series. The new chip, announced on October 10, 2024, marks AMD’s latest… Read More »AMD Launches MI325x AI Chips Series to Challenge Nvidia’s Dominance Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of multimodal artificial intelligence (AI) revolves around creating models capable of processing and understanding diverse input types such as text, images, and videos. Integrating these modalities allows for a more holistic understanding of data, making it possible for the models to provide… Read More »Rhymes AI Released Aria: An Open Multimodal Native MoE Model Offering State-of-the-Art Performance Across Diverse Language, Vision, and Coding Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Q Business recently added support for administrators to modify the default access control list (ACL) crawling feature for data source connectors. Amazon Q Business is a fully managed, AI powered assistant with enterprise-grade security and privacy features. It includes over 40 data source… Read More »Enable or disable ACL crawling safely in Amazon Q Business Rajesh Kumar Ravi AWS Machine Learning Blog