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UC Berkeley Researchers Introduce Starling-7B: An Open Large Language Model (LLM) Trained by Reinforcement Learning from AI Feedback (RLAIF) Rachit Ranjan Artificial Intelligence Category – MarkTechPost

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​ Large Language Models (LLMs) are artificial intelligence models for natural language processing tasks. These models are trained on massive datasets and can understand and generate human-like text. They have transformed natural language processing with their ability to understand and develop human-like text. The utility… Read More »UC Berkeley Researchers Introduce Starling-7B: An Open Large Language Model (LLM) Trained by Reinforcement Learning from AI Feedback (RLAIF) Rachit Ranjan Artificial Intelligence Category – MarkTechPost

Meta AI Introduces Seamless: A Publicly Available AI System that Unlocks Expressive Cross-Lingual Communication in Real-Time Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​ New features and improvements in automatic voice translation have made it possible to accomplish much more, cover more languages, and work with more input formats. However, crucial capabilities that make machine-mediated communication feel natural compared to human-to-human conversation are currently missing from large-scale automated… Read More »Meta AI Introduces Seamless: A Publicly Available AI System that Unlocks Expressive Cross-Lingual Communication in Real-Time Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

Researchers from the University of Texas Showcase Predicting Implant-Based Reconstruction Complications Using Machine Learning Arham Islam Artificial Intelligence Category – MarkTechPost

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​ Artificial Intelligence (AI) has transformed almost every field today and has the potential to improve existing systems through automation, predictions, and optimizing decision-making. Breast reconstruction is a very common surgical procedure, with Implant-based reconstruction (IBR) being used in most cases. However, this process is… Read More »Researchers from the University of Texas Showcase Predicting Implant-Based Reconstruction Complications Using Machine Learning Arham Islam Artificial Intelligence Category – MarkTechPost

DeepSeek Open-Sources DeepSeek-67B Model: The Latest ChatGPT Rival from China Niharika Singh Artificial Intelligence Category – MarkTechPost

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​ Chinese AI startup DeepSeek AI has ushered in a new era in large language models (LLMs) by debuting the DeepSeek LLM family. Comprising the DeepSeek LLM 7B/67B Base and DeepSeek LLM 7B/67B Chat – these open-source models mark a notable stride forward in language… Read More »DeepSeek Open-Sources DeepSeek-67B Model: The Latest ChatGPT Rival from China Niharika Singh Artificial Intelligence Category – MarkTechPost

This Deep Learning Research Unveils Distinct Brain Changes in Adolescents with ADHD: A Breakthrough in MRI Scan Analysis Madhur Garg Artificial Intelligence Category – MarkTechPost

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​ In a groundbreaking development, researchers have harnessed the power of artificial intelligence (AI) to address the inherent challenges in diagnosing Attention Deficit-Hyperactivity Disorder (ADHD) among adolescents. The conventional diagnostic landscape, reliant on subjective self-reported surveys, has long faced criticism for its lack of objectivity.… Read More »This Deep Learning Research Unveils Distinct Brain Changes in Adolescents with ADHD: A Breakthrough in MRI Scan Analysis Madhur Garg Artificial Intelligence Category – MarkTechPost

CMU Researchers Discover Key Insights into Neural Network Behavior: The Interplay of Heavy-Tailed Data and Network Depth in Shaping Optimization Dynamics Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ There is a steadily growing list of intriguing properties of neural network (NN) optimization that are not readily explained by classical tools from optimization. Likewise, the research team has varying degrees of understanding of the mechanical causes for each. Extensive efforts have led to… Read More »CMU Researchers Discover Key Insights into Neural Network Behavior: The Interplay of Heavy-Tailed Data and Network Depth in Shaping Optimization Dynamics Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Cornell Researchers Uncover Insights into Language Model Prompts: A Deep Dive into How Next-Token Probabilities Can Reveal Hidden Text Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​ The study conducted by researchers at Cornell University addresses the problem of language model inversion. They discovered that the next-token probabilities contain significant information about the preceding text. To solve this problem, they introduced a method to reconstruct unknown prompts using only the model’s… Read More »Cornell Researchers Uncover Insights into Language Model Prompts: A Deep Dive into How Next-Token Probabilities Can Reveal Hidden Text Adnan Hassan Artificial Intelligence Category – MarkTechPost

This AI Paper Releases a Detailed Review of Open-Source Large Language Models that Claim to Catch up with or Surpass ChatGPT in Different Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​ The recent release of ChatGPT last year has taken the Artificial Intelligence community by storm. Based on GPT’s transformer architecture, which is the latest Large Language Model, ChatGPT has had a significant impact on both academic and commercial applications. The chatbot can easily respond… Read More »This AI Paper Releases a Detailed Review of Open-Source Large Language Models that Claim to Catch up with or Surpass ChatGPT in Different Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Fast Optimal Locally Private Mean Estimation via Random Projections Apple Machine Learning Research

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​We study the problem of locally private mean estimation of high-dimensional vectors in the Euclidean ball. Existing algorithms for this problem either incur sub-optimal error or have high communication and/or run-time complexity. We propose a new algorithmic framework, ProjUnit, for private mean estimation that yields… Read More »Fast Optimal Locally Private Mean Estimation via Random Projections Apple Machine Learning Research