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Tiny Titans Triumph: The Surprising Efficiency of Compact LLMs Exposed! Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In the rapidly advancing field of natural language processing (NLP), the advent of large language models (LLMs) has significantly transformed. These models have shown remarkable success in understanding and generating human-like text across various tasks without specific training. However, the deployment of such models… Read More »Tiny Titans Triumph: The Surprising Efficiency of Compact LLMs Exposed! Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

This AI Paper Introduces PirateNets: A Novel AI System Designed to Facilitate Stable and Efficient Training of Deep Physics-Informed Neural Network Models Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” With the world of computational science continually evolving, physics-informed neural networks (PINNs) stand out as a groundbreaking approach for tackling forward and inverse problems governed by partial differential equations (PDEs). These models incorporate physical laws into the learning process, promising a significant leap in… Read More »This AI Paper Introduces PirateNets: A Novel AI System Designed to Facilitate Stable and Efficient Training of Deep Physics-Informed Neural Network Models Nikhil Artificial Intelligence Category – MarkTechPost

Stanford Researchers Introduce RAPTOR: A Novel Tree-based Retrieval System that Augments the Parametric Knowledge of LLMs with Contextual Information Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Retrieval-augmented language models often retrieve only short chunks from a corpus, limiting overall document context. This decreases their ability to adapt to changes in the world state and incorporate long-tail knowledge. Existing retrieval-augmented approaches also need fixing. The one we tackle is that most… Read More »Stanford Researchers Introduce RAPTOR: A Novel Tree-based Retrieval System that Augments the Parametric Knowledge of LLMs with Contextual Information Mohammad Asjad Artificial Intelligence Category – MarkTechPost

Meet Dolma: An Open English Corpus of 3T Tokens for Language Model Pretraining Research Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) are a recent trend as these models have gained significant importance for handling tasks related to Natural Language Processing (NLP), such as question-answering, text summarization, few-shot learning, etc. But the most powerful language models are released by keeping the important… Read More »Meet Dolma: An Open English Corpus of 3T Tokens for Language Model Pretraining Research Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock Kyle Blocksom AWS Machine Learning Blog

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​[[{“value”:” Generative AI agents are a versatile and powerful tool for large enterprises. They can enhance operational efficiency, customer service, and decision-making while reducing costs and enabling innovation. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry,… Read More »Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock Kyle Blocksom AWS Machine Learning Blog

CMU Researchers Introduce OWSM v3.1: A Better and Faster Open Whisper-Style Speech Model-Based on E-Branchformer Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Speech recognition technology has become a cornerstone for various applications, enabling machines to understand and process human speech. The field continuously seeks advancements in algorithms and models to improve accuracy and efficiency in recognizing speech across multiple languages and contexts. The main challenge in… Read More »CMU Researchers Introduce OWSM v3.1: A Better and Faster Open Whisper-Style Speech Model-Based on E-Branchformer Nikhil Artificial Intelligence Category – MarkTechPost

This Survey Paper from Seoul National University Explores the Frontier of AI Efficiency: Compressing Language Models Without Compromising Accuracy Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Language models stand as titans, harnessing the vast expanse of human language to power many applications. These models have revolutionized how machines understand and generate text, enabling translation, content creation, and conversational AI breakthroughs. Their huge size is a source of their prowess and… Read More »This Survey Paper from Seoul National University Explores the Frontier of AI Efficiency: Compressing Language Models Without Compromising Accuracy Sana Hassan Artificial Intelligence Category – MarkTechPost

Pioneering Large Vision-Language Models with MoE-LLaVA Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In the dynamic arena of artificial intelligence, the intersection of visual and linguistic data through large vision-language models (LVLMs) is a pivotal development. LVLMs have revolutionized how machines interpret and understand the world, mirroring human-like perception. Their applications span a vast array of fields,… Read More »Pioneering Large Vision-Language Models with MoE-LLaVA Adnan Hassan Artificial Intelligence Category – MarkTechPost

From Numbers to Knowledge: The Role of LLMs in Deciphering Complex Equations! Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Exploring the fusion of artificial intelligence with mathematical reasoning reveals a dynamic intersection where technology meets one of humanity’s oldest intellectual pursuits. The quest to imbue machines capable of parsing and solving mathematical problems stretches beyond mere computation, delving into the essence of cognitive… Read More »From Numbers to Knowledge: The Role of LLMs in Deciphering Complex Equations! Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost