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This Machine Learning Research from Microsoft Introduces an Active Preference Elicitation Method for the Online Alignment of Large Language Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) have significantly advanced in recent times, primarily because of their increased capacity to follow human commands efficiently. Reinforcement Learning from Human Feedback (RLHF) is the main technique for matching LLMs to human intent. This method operates by optimizing a reward… Read More »This Machine Learning Research from Microsoft Introduces an Active Preference Elicitation Method for the Online Alignment of Large Language Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Sparse Maximal Update Parameterization (SμPar): Optimizing Sparse Neural Networks for Superior Training Dynamics and Efficiency Aswin Ak Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Sparse neural networks aim to optimize computational efficiency by reducing the number of active weights in the model. This technique is vital as it addresses the escalating computational costs associated with training and inference in deep learning. Sparse networks enhance performance without dense connections,… Read More »Sparse Maximal Update Parameterization (SμPar): Optimizing Sparse Neural Networks for Superior Training Dynamics and Efficiency Aswin Ak Artificial Intelligence Category – MarkTechPost

Steerability and Bias in LLMs: Navigating Multifaceted Persona Representation Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” LLMs need to generate text reflecting the diverse views of multifaceted personas. Prior studies on bias in LLMs have focused on simplistic, one-dimensional personas or multiple-choice formats. However, many applications require LLMs to generate open-ended text based on complex personas. The ability to steer… Read More »Steerability and Bias in LLMs: Navigating Multifaceted Persona Representation Sana Hassan Artificial Intelligence Category – MarkTechPost

Are AI-RAG Solutions Really Hallucination-Free? Researchers at Stanford University Assess the Reliability of AI in Legal Research: Hallucinations and Accuracy Challenges Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” AI legal research and document drafting tools promise to enhance efficiency and accuracy in performing complex legal tasks. However, these tools need help with their reliability in producing accurate legal information. Lawyers increasingly use AI to augment their practice, from drafting contracts to analyzing… Read More »Are AI-RAG Solutions Really Hallucination-Free? Researchers at Stanford University Assess the Reliability of AI in Legal Research: Hallucinations and Accuracy Challenges Asif Razzaq Artificial Intelligence Category – MarkTechPost

IEIT SYSTEMS Releases Yuan 2.0-M32: A Bilingual Mixture of Experts MoE Language Model based on Yuan 2.0. Attention Router Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In recent research, a team of researchers from IEIT Systems has developed Yuan 2.0-M32, a sophisticated model built using the Mixture of Experts (MoE) architecture. Similar in base design to Yuan-2.0 2B, it is distinguished by its use of 32 experts. The model has… Read More »IEIT SYSTEMS Releases Yuan 2.0-M32: A Bilingual Mixture of Experts MoE Language Model based on Yuan 2.0. Attention Router Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Implement serverless semantic search of image and live video with Amazon Titan Multimodal Embeddings Thorben Sanktjohanser AWS Machine Learning Blog

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​[[{“value”:” In today’s data-driven world, industries across various sectors are accumulating massive amounts of video data through cameras installed in their warehouses, clinics, roads, metro stations, stores, factories, or even private facilities. This video data holds immense potential for analysis and monitoring of incidents that… Read More »Implement serverless semantic search of image and live video with Amazon Titan Multimodal Embeddings Thorben Sanktjohanser AWS Machine Learning Blog

Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas Rushabh Lokhande AWS Machine Learning Blog

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​[[{“value”:” In today’s fast-paced corporate landscape, employee mental health has become a crucial aspect that organizations can no longer overlook. Many companies recognize that their greatest asset lies in their dedicated workforce, and each employee plays a vital role in collective success. As such, promoting… Read More »Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas Rushabh Lokhande AWS Machine Learning Blog

The Revolution of NLP in Manufacturing: From Maintenance and Management to Smart Factories Master Of Code Global Chatbots Life – Medium

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​ Nowadays, Natural Language Processing is emerging as a transformative force. It is revolutionizing the manufacturing sector day by day, leaving no chance for companies to escape. In essence, this branch of artificial intelligence enables computers to understand, interpret, and generate human language. No doubt, it… Read More »The Revolution of NLP in Manufacturing: From Maintenance and Management to Smart Factories Master Of Code Global Chatbots Life – Medium