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    Evaluating AI Model Security Using Red Teaming Approach: A Comprehensive Study on LLM and MLLM Robustness Against Jailbreak Attacks and Future Improvements
    Evaluating AI Model Security Using Red Teaming Approach: A Comprehensive Study on LLM and MLLM Robustness Against Jailbreak Attacks and Future Improvements

    The emergence of Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) represents a significant leap forward in AI …

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    Researchers at Intel Labs Introduce LLaVA-Gemma: A Compact Vision-Language Model Leveraging the Gemma Large Language Model in Two Variants (Gemma-2B and Gemma-7B)
    Researchers at Intel Labs Introduce LLaVA-Gemma: A Compact Vision-Language Model Leveraging the Gemma Large Language Model in Two Variants (Gemma-2B and Gemma-7B)

    Recent advancements in large language models (LLMs) and Multimodal Foundation Models (MMFMs) have spurred interest in large multimodal models (LMMs). …

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    How to Use Google Colab: A Beginner’s Guide
    How to Use Google Colab: A Beginner’s Guide

    Google Colab, short for Google Colaboratory, is a free cloud service that supports Python programming and machine learning. It’s a …

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    Researchers at Microsoft AI Propose LLM-ABR: A Machine Learning System that Utilizes LLMs to Design Adaptive Bitrate (ABR) Algorithms
    Researchers at Microsoft AI Propose LLM-ABR: A Machine Learning System that Utilizes LLMs to Design Adaptive Bitrate (ABR) Algorithms

    Large Language models (LLMs) have demonstrated exceptional capabilities in generating high-quality text and code. Trained on vast collections of text …

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    This Machine Learning Research Introduces Mechanistic Architecture Design (Mad) Pipeline: Encompassing Small-Scale Capability Unit Tests Predictive of Scaling Laws
    This Machine Learning Research Introduces Mechanistic Architecture Design (Mad) Pipeline: Encompassing Small-Scale Capability Unit Tests Predictive of Scaling Laws

    Creating deep learning architectures requires a lot of resources because it involves a large design space, lengthy prototyping periods, and …

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    NAVER Cloud Researchers Introduce HyperCLOVA X: A Multilingual Language Model Tailored to Korean Language and Culture
    NAVER Cloud Researchers Introduce HyperCLOVA X: A Multilingual Language Model Tailored to Korean Language and Culture

    The evolution of large language models (LLMs) marks a transition toward systems capable of understanding and expressing languages beyond the …

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    Unifying Neural Network Design with Category Theory: A Comprehensive Framework for Deep Learning Architecture
    Unifying Neural Network Design with Category Theory: A Comprehensive Framework for Deep Learning Architecture

    In deep learning, a unifying framework to design neural network architectures has been a challenge and a focal point of …

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    Alibaba-Qwen Releases Qwen1.5 32B: A New Multilingual dense LLM with a context of 32k and Outperforming Mixtral on the Open LLM Leaderboard
    Alibaba-Qwen Releases Qwen1.5 32B: A New Multilingual dense LLM with a context of 32k and Outperforming Mixtral on the Open LLM Leaderboard

    Alibaba’s AI research division has unveiled the latest addition to its Qwen language model series – the Qwen1.5-32B- in a …

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    Google DeepMind Presents Mixture-of-Depths: Optimizing Transformer Models for Dynamic Resource Allocation and Enhanced Computational Sustainability
    Google DeepMind Presents Mixture-of-Depths: Optimizing Transformer Models for Dynamic Resource Allocation and Enhanced Computational Sustainability

    The transformer model has emerged as a cornerstone technology in AI, revolutionizing tasks such as language processing and machine translation. …

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    Role Of Transformers in NLP - How are Large Language Models (LLMs) Trained Using Transformers?
    Role Of Transformers in NLP – How are Large Language Models (LLMs) Trained Using Transformers?

    Transformers have transformed the field of NLP over the last few years, with LLMs like OpenAI’s GPT series, BERT, and …

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