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Meta AI Silently Releases NotebookLlama: An Open Version of Google’s NotebookLM Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Meta has recently released NotebookLlama, an open version of Google’s NotebookLM that empowers researchers and developers with accessible, scalable solutions for interactive data analysis and documentation. NotebookLlama integrates large language models directly into an open-source notebook interface, similar to Jupyter or Google Colab, allowing… Read More »Meta AI Silently Releases NotebookLlama: An Open Version of Google’s NotebookLM Asif Razzaq Artificial Intelligence Category – MarkTechPost

Promoting Cross-Modal Representations to Improve Multimodal Foundation Models for Physiological Signals Apple Machine Learning Research

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​Many healthcare applications are inherently multimodal, involving several physiological signals. As sensors for these signals become more common, improving machine learning methods for multimodal healthcare data is crucial. Pretraining foundation models is a promising avenue for success. However, methods for developing foundation models in healthcare… Read More »Promoting Cross-Modal Representations to Improve Multimodal Foundation Models for Physiological Signals Apple Machine Learning Research

Smart Audit System Empowered by LLM Apple Machine Learning Research

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​Manufacturing quality audits are pivotal for ensuring high product standards in mass production environments. Traditional auditing processes, however, are labor-intensive and heavily reliant on human expertise, posing challenges in maintaining transparency, accountability, and continuous improvement across complex global supply chains. To address these challenges, we… Read More »Smart Audit System Empowered by LLM Apple Machine Learning Research

Meet mcdse-2b-v1: A New Performant, Scalable and Efficient Multilingual Document Retrieval Model Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The rise of the information era has brought an overwhelming amount of data in varied formats. Documents, presentations, and images are generated at an astonishing rate across multiple languages and domains. However, retrieving useful information from these diverse sources presents a significant challenge. Conventional… Read More »Meet mcdse-2b-v1: A New Performant, Scalable and Efficient Multilingual Document Retrieval Model Asif Razzaq Artificial Intelligence Category – MarkTechPost

SPARE: Training-Free Representation Engineering for Managing Knowledge Conflicts in Large Language Models Sajjad Ansari Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) have demonstrated impressive capabilities in handling knowledge-intensive tasks through their parametric knowledge stored within model parameters. However, the stored knowledge can become inaccurate or outdated, leading to the adoption of retrieval and tool-augmented methods that provide external contextual knowledge. A… Read More »SPARE: Training-Free Representation Engineering for Managing Knowledge Conflicts in Large Language Models Sajjad Ansari Artificial Intelligence Category – MarkTechPost

M-RewardBench: A Multilingual Approach to Reward Model Evaluation, Analyzing Accuracy Across High and Low-Resource Languages with Practical Results Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large language models (LLMs) have transformed fields ranging from customer service to medical assistance by aligning machine output with human values. Reward models (RMs) play an important role in this alignment, essentially serving as a feedback loop where models are guided to provide human-preferred… Read More »M-RewardBench: A Multilingual Approach to Reward Model Evaluation, Analyzing Accuracy Across High and Low-Resource Languages with Practical Results Asif Razzaq Artificial Intelligence Category – MarkTechPost

SAM2Long: A Training-Free Enhancement to SAM 2 for Long-Term Video Segmentation Afeerah Naseem Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Long Video Segmentation involves breaking down a video into certain parts to analyze complex processes like motion, occlusions, and varying light conditions. It has various applications in autonomous driving, surveillance, and video editing. It is challenging yet critical to accurately segment objects in long… Read More »SAM2Long: A Training-Free Enhancement to SAM 2 for Long-Term Video Segmentation Afeerah Naseem Artificial Intelligence Category – MarkTechPost

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of Large Language Model (LLM) Generated Ideas Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Innovation in science is essential to human progress because it drives developments in a wide range of industries, including technology, healthcare, and environmental sustainability. Large Language Models (LLMs) have lately demonstrated potential in expediting scientific discovery by generating research ideas due to their extensive… Read More »Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of Large Language Model (LLM) Generated Ideas Tanya Malhotra Artificial Intelligence Category – MarkTechPost

OpenAI Stabilizing Continuous-Time Generative Models: How TrigFlow’s Innovative Framework Narrowed the Gap with Leading Diffusion Models Using Just Two Sampling Steps Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Generative artificial intelligence (AI) models are designed to create realistic, high-quality data, such as images, audio, and video, based on patterns in large datasets. These models can imitate complex data distributions, producing synthetic content resembling samples. One widely recognized class of generative models is… Read More »OpenAI Stabilizing Continuous-Time Generative Models: How TrigFlow’s Innovative Framework Narrowed the Gap with Leading Diffusion Models Using Just Two Sampling Steps Nikhil Artificial Intelligence Category – MarkTechPost

MiniCTX: Advancing Context-Dependent Theorem Proving in Large Language Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Formal theorem proving has emerged as a critical benchmark for assessing the reasoning capabilities of large language models (LLMs), with significant implications for mathematical automation. While these models show promise in assisting mathematicians through proof completion and formalization tools, a substantial challenge persists in… Read More »MiniCTX: Advancing Context-Dependent Theorem Proving in Large Language Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost