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Scientists at Microsoft AI suggest LLM-ABR: A newly developed machine learning system that uses LLMs for the creation of adaptive bitrate (ABR) algorithms.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 7, 202435Views0Likes0Comments
Large Language Models (LLMs) have become increasingly influential in many fields due to their ability to generate sophisticated text and code. Trained on extensive text databases, these models can translate user requests into code snippets, design specific functions, and even create whole projects from scratch. They have numerous applications, including generating heuristic greedy algorithms for…

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A Novice’s Guide on Utilizing Google Colab

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 7, 202440Views0Likes0Comments
Google Colab, also known as Google Colaboratory, is a free cloud service that enables Python programming and machine learning. The platform is praised for its ease of setup, effortless sharing capability, availability of free and premium GPUs, and as such, is utilized by students, data scientists, and artificial intelligence researchers. This article discusses how to…

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Scientists from Intel Labs have unveiled LLaVA-Gemma, a compact vision-language module utilizing two versions of the Gemma Large Language Model, namely Gemma-2B and Gemma-7B.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 7, 202440Views0Likes0Comments
Recent advancements in large language models (LLMs) and Multimodal Foundation Models (MMFMs) have sparked a surge of interest in large multimodal models (LMMs). LLMs and MMFMs, including models such as GPT-4 and LLaVA, have demonstrated exceptional performance in vision-language tasks, including Visual Question Answering and image captioning. However, these models also require high computational resources,…

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Assessing AI Model Safety via Red Teaming Method: An In-depth Analysis of LLM and MLLM’s Resilience to Jailbreak Assaults and Prospective Enhancements

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 7, 202437Views0Likes0Comments
Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) are key advancements in artificial intelligence (AI) capable of generating text, interpreting images, and understanding complex multimodal inputs, mimicking human intelligence. However, concerns arise due to their potential misuse and vulnerabilities to jailbreak attacks, where malicious inputs trick the models into generating harmful or objectionable…

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Introducing AnythingLLM: A Publicly Accessible, Comprehensive AI Desktop Application for Local LLMs + RAG.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Open Source Projects, Staff, Tech News, Technology, UncategorizedApril 7, 202444Views0Likes0Comments
In the modern business landscape, artificial intelligence (AI) has dramatically reshaped how organizations communicate, particularly when it comes to making use of documents. This is where AnythingLLM comes in – an open-source, innovative full-stack application that uses chatbot technology to enhance how companies interact with their documents. AnythingLLM is designed with an emphasis on efficiency,…

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“AutoTRIZ: A Creative AI Instrument that Utilizes Extensive Language Models (LLMs) for the Automation and Improvement of the TRIZ (Innovative Problem-solving) Approach”

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 7, 202432Views0Likes0Comments
The Theory of Inventive Problem Solving (TRIZ) is a widely recognized method of ideation that uses the knowledge derived from a large, ongoing patent database to systematically invent and solve engineering problems. TRIZ is increasingly incorporating various aspects of machine learning and natural language processing to enhance its reasoning process. Now, researchers from both the Singapore…

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Stanford University researchers have unveiled Octopus v2, a tool that enhances on-device language models for improved super agent operations.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 7, 202438Views0Likes0Comments
Artificial intelligence, particularly large language models (LLMs), faces the critical challenge of balancing model performance and practical constraints such as privacy, cost, and device compatibility. Large cloud-based models that offer high-accuracy rely on constant internet connectivity, raising potential issues of privacy breaches and high costs. Deploying these models on edge devices introduces further challenges in…

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Introducing RAGFlow: A Deep Learning Document Comprehension Engine that Uses Retrieval-Augmented Generation (RAG), Now Open-Source.

AI Shorts, AI Tool, Applications, Artificial Intelligence, Editors Pick, Open Source Projects, Staff, Tech News, Technology, UncategorizedApril 7, 202443Views0Likes0Comments
In the dynamic environment of Artificial Intelligence (AI), the constant challenge for businesses is managing immense quantities of unstructured data. To this end, the pioneering open-source AI project, RAGFlow is set to redefine the way organizations derive insights and respond to complex inquiries with remarkable truthfulness and precise accuracy. RAGFlow is an avant-garde engine that…

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The Function of Transformers in Natural Language Processing – Training Large Language Models (LLMs) with Transformers, How Does it Work?

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, Tutorials, UncategorizedApril 7, 202435Views0Likes0Comments
Transformers have revolutionized Natural Language Processing (NLP) with Large Language Models (LLMs), such as OpenAI's GPT series, BERT, and Claude series, etc. The advancement of Transformer Architecture brought about a new way of building models designed to understand and accurately generate human language. The Transformer Model was introduced in 2017 through a research paper titled "Attention…

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Google DeepMind Introduces Mixture-of-Depths: Fine-Tuning Transformer Models for Adaptable Resource Management and Improved Computation Efficiency

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 7, 202438Views0Likes0Comments
The transformer model has become a crucial technical component in AI, transforming areas such as language processing and machine translation. Despite its success, a common criticism is its standard method of uniformly assigning computational resources across an input sequence, failing to acknowledge the varying computational demands of different parts of a data sequence. This simplified…

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Alibaba-Qwen presents Qwen1.5 32B, a fresh multilingual dense Language Model that stands out with a context of 32k and surpasses Mixtral on the Open Language Model Leaderboard.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 7, 202438Views0Likes0Comments
Alibaba's AI research division continues to establish a strong presence in the field of large language models (LLMs) with its new Qwen1.5-32B model, which features 32 billion parameters and an impressive 32k token context size. This latest addition to the Qwen series epitomizes Alibaba's commitment to high-performance computing balanced with resource efficiency. The Qwen1.5-32B has superseded…

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Scholars from the University of Maryland and NYU have developed an AI system designed to comprehend and isolate style indicators from visual elements.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 6, 202439Views0Likes0Comments
Researchers from New York University, ELLIS Institute, and the University of Maryland have developed a model, known as Contrastive Style Descriptors (CSD), that enables a more nuanced understanding of artistic styles in digital artistry. This has been done with the aim of deciphering whether generative models like Stable Diffusion and DALL-E are merely replicating existing…

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