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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

SK Telecom improves telco-specific Q&A by fine-tuning Anthropic’s Claude models in Amazon Bedrock Sungmin Hong AWS Machine Learning Blog

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​[[{“value”:” SK Telecom (SKT), South Korea’s leading telecommunications company serving 30 million customers, is at the forefront of AI innovation. In line with its AI Pyramid Strategy, which aims to unlock AI’s potential for anyone, anywhere, anytime, SKT has collaborated with the AWS Generative AI… Read More »SK Telecom improves telco-specific Q&A by fine-tuning Anthropic’s Claude models in Amazon Bedrock Sungmin Hong AWS Machine Learning Blog

Scaling Rufus, the Amazon generative AI-powered conversational shopping assistant with over 80,000 AWS Inferentia and AWS Trainium chips, for Prime Day James Park AWS Machine Learning Blog

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​[[{“value”:” Amazon Rufus is a shopping assistant experience powered by generative AI. It generates answers using relevant information from across Amazon and the web to help Amazon customers make better, more informed shopping decisions. With Rufus, customers can shop alongside a generative AI-powered expert that… Read More »Scaling Rufus, the Amazon generative AI-powered conversational shopping assistant with over 80,000 AWS Inferentia and AWS Trainium chips, for Prime Day James Park AWS Machine Learning Blog

Exploring alternatives and seamlessly migrating data from Amazon Lookout for Vision Tim Westman AWS Machine Learning Blog

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​[[{“value”:” Amazon Lookout for Vision, the AWS service designed to create customized artificial intelligence and machine learning (AI/ML) computer vision models for automated quality inspection, will be discontinuing on October 31, 2025. New customers will not be able to access the service effective October 10,… Read More »Exploring alternatives and seamlessly migrating data from Amazon Lookout for Vision Tim Westman AWS Machine Learning Blog

SQ-LLaVA: A New Visual Instruction Tuning Method that Enhances General-Purpose Vision-Language Understanding and Image-Oriented Question Answering through Visual Self-Questioning Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large vision-language models have emerged as powerful tools for multimodal understanding, demonstrating impressive capabilities in interpreting and generating content that combines visual and textual information. These models, such as LLaVA and its variants, fine-tune large language models (LLMs) on visual instruction data to perform… Read More »SQ-LLaVA: A New Visual Instruction Tuning Method that Enhances General-Purpose Vision-Language Understanding and Image-Oriented Question Answering through Visual Self-Questioning Mohammad Asjad Artificial Intelligence Category – MarkTechPost

Researchers from Google DeepMind and University of Alberta Explore Transforming of Language Models into Universal Turing Machines: An In-Depth Study of Autoregressive Decoding and Computational Universality Aswin Ak Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Researchers are investigating whether large language models (LLMs) can move beyond language tasks and perform computations that mirror traditional computing systems. The focus has shifted towards understanding whether an LLM can be computationally equivalent to a universal Turing machine using only its internal mechanisms.… Read More »Researchers from Google DeepMind and University of Alberta Explore Transforming of Language Models into Universal Turing Machines: An In-Depth Study of Autoregressive Decoding and Computational Universality Aswin Ak Artificial Intelligence Category – MarkTechPost