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Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services Sokratis Kartakis AWS Machine Learning Blog

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​ In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with unprecedented proficiency. Their potential applications span from conversational agents to content generation and information retrieval, holding the promise of revolutionizing… Read More »Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services Sokratis Kartakis AWS Machine Learning Blog

Deciphering Auditory Processing: How Deep Learning Models Mirror Human Speech Recognition in the Brain Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​ Research states computations converting auditory data into linguistic representations are involved in voice perception. The auditory pathway is activated when someone listens to speech, including the primary and nonprimary auditory cortical regions, the auditory nerve, and subcortical structures. Due to environmental circumstances and changing… Read More »Deciphering Auditory Processing: How Deep Learning Models Mirror Human Speech Recognition in the Brain Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting Robert Van Dusen AWS Machine Learning Blog

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​ In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. However, the increasing cost associated with training and fine-tuning these models poses… Read More »Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting Robert Van Dusen AWS Machine Learning Blog

Federated Learning for Speech Recognition: Revisiting Current Trends Towards Large-Scale ASR Apple Machine Learning Research

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​This paper was accepted at the Federated Learning in the Age of Foundation Models workshop at NeurIPS 2023. While automatic speech recognition (ASR) has witnessed remarkable achievements in recent years, it has not garnered a widespread focus within the federated learning (FL) and differential privacy… Read More »Federated Learning for Speech Recognition: Revisiting Current Trends Towards Large-Scale ASR Apple Machine Learning Research

Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Apple Machine Learning Research

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​A recent line of work shows that notions of multigroup fairness imply surprisingly strong notions of omniprediction: loss minimization guarantees that apply not just for a specific loss function, but for any loss belonging to a large family of losses. While prior work has derived… Read More »Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Apple Machine Learning Research

SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding Apple Machine Learning Research

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​This paper was accepted at the UniReps Workshop at NeurIPS 2023. The landscape of publicly available vision foundation models (VFMs), such as CLIP and Segment Anything Model (SAM), is expanding rapidly. VFMs are endowed with distinct capabilities stemming from their pre-training objectives. For instance, CLIP… Read More »SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding Apple Machine Learning Research

Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs Apple Machine Learning Research

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​Recent work in Natural Language Processing and Computer Vision has been using textual information – e.g., entity names and descriptions – available in knowledge graphs to ground neural models to high-quality structured data. However, when it comes to non-English languages, the quantity and quality of… Read More »Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs Apple Machine Learning Research

What Algorithms can Transformers Learn? A Study in Length Generalization Apple Machine Learning Research

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​This paper was accepted at the MATH workshop at NeurIPS 2023. Large language models exhibit surprising emergent generalization properties, yet also struggle on many simple reasoning tasks such as arithmetic and parity. This raises the question of if and when Transformer models can learn the… Read More »What Algorithms can Transformers Learn? A Study in Length Generalization Apple Machine Learning Research

Understanding the Concept of GPT-4V(ision): The New Artificial Intelligence Trend Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​ OpenAI has been at the forefront of the latest advancements in AI, with its highly competent models like GPT and DALLE. When released, GPT-3 was a one-of-its-kind model with great language processing capabilities such as text summarization, sentence completion, and many others. The release… Read More »Understanding the Concept of GPT-4V(ision): The New Artificial Intelligence Trend Asif Razzaq Artificial Intelligence Category – MarkTechPost