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TableRAG: A Retrieval-Augmented Generation (RAG) Framework Specifically Designed for LM-based Table Understanding Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“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

Data Science vs. Machine Learning: What’s the Difference? Shobha Kakkar Artificial Intelligence Category – MarkTechPost

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​[[{“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

AMD Launches MI325x AI Chips Series to Challenge Nvidia’s Dominance Shobha Kakkar Artificial Intelligence Category – MarkTechPost

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​[[{“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

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

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​[[{“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

Enable or disable ACL crawling safely in Amazon Q Business Rajesh Kumar Ravi AWS Machine Learning Blog

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​[[{“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

Google AI Introduces Tx-LLM: A Large Language Model (LLM) Fine-Tuned from PaLM-2 to Predict Properties of Many Entities that are Relevant to Therapeutic Development Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Developing therapeutics is costly and time-consuming, often taking 10-15 years and up to $2 billion, with most drug candidates failing during clinical trials. A successful therapeutic must meet various criteria, such as target interaction, non-toxicity, and suitable pharmacokinetics. Current AI models focus on specialized… Read More »Google AI Introduces Tx-LLM: A Large Language Model (LLM) Fine-Tuned from PaLM-2 to Predict Properties of Many Entities that are Relevant to Therapeutic Development Sana Hassan Artificial Intelligence Category – MarkTechPost

Vision-Based Hand Gesture Customization from a Single Demonstration Apple Machine Learning Research

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​Hand gesture recognition is becoming a more prevalent mode of human-computer interaction, especially as cameras proliferate across everyday devices. Despite continued progress in this field, gesture customization is often underexplored. Customization is crucial since it enables users to define and demonstrate gestures that are more… Read More »Vision-Based Hand Gesture Customization from a Single Demonstration Apple Machine Learning Research

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models Apple Machine Learning Research

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​Recent advancements in Large Language Models (LLMs) have sparked interest in their formal reasoning capabilities, particularly in mathematics. The GSM8K benchmark is widely used to assess the mathematical reasoning of models on grade-school-level questions. While the performance of LLMs on GSM8K has significantly improved in… Read More »GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models Apple Machine Learning Research

Comparative Analysis: ColBERT vs. ColPali Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Problem Addressed ColBERT and ColPali address different facets of document retrieval, focusing on improving efficiency and effectiveness. ColBERT seeks to enhance the effectiveness of passage search by leveraging deep pre-trained language models like BERT while maintaining a lower computational cost through late interaction techniques.… Read More »Comparative Analysis: ColBERT vs. ColPali Asif Razzaq Artificial Intelligence Category – MarkTechPost

Archon: A Machine Learning Framework for Large Language Model Enhancement Using Automated Inference-Time Architecture Search for Improved Task Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Artificial intelligence has made remarkable strides with the development of Large Language Models (LLMs), significantly impacting various domains, including natural language processing, reasoning, and even coding tasks. As LLMs grow more powerful, they require sophisticated methods to optimize their performance during inference. Inference-time techniques… Read More »Archon: A Machine Learning Framework for Large Language Model Enhancement Using Automated Inference-Time Architecture Search for Improved Task Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost