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Leveraging Large Language Models for Exploiting ASR Uncertainty Apple Machine Learning Research

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​With the help of creative prompt engineering and in-context learning, large language models (LLMs) are known to generalize well on a variety of text-based natural language processing (NLP) tasks. However, for performing well on spoken language understanding (SLU) tasks, LLMs either need to be equipped… Read More »Leveraging Large Language Models for Exploiting ASR Uncertainty Apple Machine Learning Research

Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR Apple Machine Learning Research

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​In this paper, we start by training End-to-End Automatic Speech Recognition (ASR) models using Federated Learning (FL) and examining the fundamental considerations that can be pivotal in minimizing the performance gap in terms of word error rate between models trained using FL versus their centralized… Read More »Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR Apple Machine Learning Research

DataComp: In Search of the Next Generation of Multimodal Datasets Apple Machine Learning Research

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​*=Equal Contributors Multimodal datasets are a critical component in recent breakthroughs such as Stable Diffusion and GPT-4, yet their design does not receive the same research attention as model architectures or training algorithms. To address this shortcoming in the ML ecosystem, we introduce DataComp, a… Read More »DataComp: In Search of the Next Generation of Multimodal Datasets Apple Machine Learning Research

How Can We Advance Object Recognition in AI? This AI Paper Introduces GLEE: a Universal Object-Level Foundation Model for Enhanced Image and Video Analysis Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​ Object perception in images and videos unleashes the power of machines to decipher the visual world. Like virtual sleuths, computer vision systems scour pixels, recognizing, tracking, and understanding the myriad objects that paint the canvas of digital experiences. This technological prowess, fueled by deep… Read More »How Can We Advance Object Recognition in AI? This AI Paper Introduces GLEE: a Universal Object-Level Foundation Model for Enhanced Image and Video Analysis Adnan Hassan Artificial Intelligence Category – MarkTechPost

Stanford Researchers Harness Deep Learning with GLOW and IVES to Transform Molecular Docking and Ligand Binding Pose Prediction Sana Hassan Artificial Intelligence Category – MarkTechPost

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​ Deep learning has the potential to enhance molecular docking by improving scoring functions. Current sampling protocols often need prior information to generate accurate ligand binding poses, limiting scoring function accuracy. Two new protocols, GLOW and IVES, developed by researchers from Stanford University, address this… Read More »Stanford Researchers Harness Deep Learning with GLOW and IVES to Transform Molecular Docking and Ligand Binding Pose Prediction Sana Hassan Artificial Intelligence Category – MarkTechPost

Meet VonGoom: A Novel AI Approach for Data Poisoning in Large Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​ Data poisoning attacks manipulate machine learning models by injecting false data into the training dataset. When the model is exposed to real-world data, it may result in incorrect predictions or decisions. LLMs can be vulnerable to data poisoning attacks, which can distort their responses… Read More »Meet VonGoom: A Novel AI Approach for Data Poisoning in Large Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

Upstage Unveils Solar-10.7B: Pioneering Large Language Models with Depth Up-Scaling and Fine-Tuned Precision for Single-Turn Conversations Madhur Garg Artificial Intelligence Category – MarkTechPost

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​ The researchers at Upstage (a South Korean AI company) have tackled the challenge of maximizing the performance of language models while minimizing their parameters. In large language models (LLMs), where model size often correlates with performance, Upstage introduces Solar-10.7B, a groundbreaking model with 10.7… Read More »Upstage Unveils Solar-10.7B: Pioneering Large Language Models with Depth Up-Scaling and Fine-Tuned Precision for Single-Turn Conversations Madhur Garg Artificial Intelligence Category – MarkTechPost

This AI Paper Survey Addresses the Role of Large Language Models (LLMs) in Medicine: Their Challenges, Principles And Applications Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​ Natural Language Processing (NLP) has come a long way in the last few months, especially with the introduction of Large Language Models (LLMs). Models like GPT, PaLM, LLaMA, etc., have gained a lot of popularity due to their capability to execute several NLP tasks… Read More »This AI Paper Survey Addresses the Role of Large Language Models (LLMs) in Medicine: Their Challenges, Principles And Applications Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Kinara Unveils Ara-2 Processor: Revolutionizing On-Device AI Processing for Enhanced Performance Niharika Singh Artificial Intelligence Category – MarkTechPost

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​ Kinara, a pioneering entity in energy-efficient artificial intelligence at the edge, has introduced its groundbreaking Ara-2 processor, touting its capability to empower large language models (LLMs) and various generative AI models on-device with a remarkable eightfold performance enhancement compared to its predecessor. The brainchild… Read More »Kinara Unveils Ara-2 Processor: Revolutionizing On-Device AI Processing for Enhanced Performance Niharika Singh Artificial Intelligence Category – MarkTechPost