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Improving Dependable Question Responding through the CRAG Benchmark.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Technology, UncategorizedJune 11, 202464Views0Likes0Comments
Large Language Models (LLMs) have revolutionized the field of Natural Language Processing (NLP). However, they often generate ungrounded or factually incorrect information, an issue informally known as 'hallucination'. This is particularly noticeable when it comes to Question Answering (QA) tasks, where even the most advanced models, such as GPT-4, struggle to provide accurate responses. The…

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Improving Dependable Question-Answering with the CRAG Benchmark

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Technology, UncategorizedJune 11, 202461Views0Likes0Comments
Large Language Models (LLMs) have transformed the field of Natural Language Processing (NLP), specifically in Question Answering (QA) tasks. However, their utility is often hampered by the generation of incorrect or unverified responses, a phenomenon known as hallucination. Despite the development of advanced models like GPT-4, issues remain in accurately answering questions related to changing…

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Omost: An Artificial Intelligence Initiative Transforming LLM Programming Skills into Picture Arrangement

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 11, 202464Views0Likes0Comments
Omost is an innovative project aimed at improving the image generation capabilities of Large Language Models (LLMs). The technology essentially converts the programming ability of an LLM into advanced image composition skills. The concept behind Omost's name is two-fold; firstly, after its use, the produced image should be 'almost' perfect. Secondly, 'O' stands for 'omni,'…

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Causes of Hallucination in Extensive Language Models (LLMs)

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 11, 202471Views0Likes0Comments
The introduction of large language models (LLMs) such as Llama, PaLM, and GPT-4 has transformed the world of natural language processing (NLP), elevating the capabilities for text generation and comprehension. However, a key issue with these models is their tendency to produce hallucinations - generating content that is factually incorrect or inconsistent with the input…

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A Detailed Examination by BentoML on Rating LLM Inference Backends: Evaluating the Efficiency of vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and TGI.

AI Shorts, Applications, Artificial Intelligence, Tech News, Technology, UncategorizedJune 10, 202468Views0Likes0Comments
Large Language Models (LLMs) require an appropriate inference backend to function correctly, influencing user experience and operational costs. A recent study conducted by the BentoML Engineering Team has benchmarked various backends to better understand their performance when serving LLMs. The study focused primarily on vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and Hugging Face TGI. The experiment carried…

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AGENTGYM Evolves Agents towards General AI from Specific Tasks: Utilizing Various Environments and Independent Learning

AI Shorts, Applications, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 10, 202461Views0Likes0Comments
Artificial intelligence (AI) research aims to create adaptable and self-learning agents that can handle diverse tasks across different environments. Yet achieving this level of versatility and autonomy is a significant challenge, with current models often requiring extensive human supervision, limiting their scalability. Past research in this arena includes frameworks like AgentBench, AgentBoard, and AgentOhana, which are…

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xECGArch: A CNN-Based Multi-Scale Method for Precise and Understandable Detection of Atrial Fibrillation in ECG Examinations.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 10, 202470Views0Likes0Comments
Deep learning methods exhibit excellent performance in diagnosing cardiovascular diseases from ECGs. Nevertheless, their "black-box" nature contributes to their limited integrations into clinical scenarios because a lack of interpretability hinders their broader adoption. To overcome this limitation, researchers from the Institute of Biomedical Engineering, TU Dresden, developed xECGArch, a deep learning architecture designed specifically for…

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Perplexica: The Open-Source System Emulating High-Level Complexity for AI Search Instruments

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Open Source Projects, Staff, Tech News, Technology, UncategorizedJune 10, 202475Views0Likes0Comments
The open-source project Perplexica is a breakthrough in the realm of search engines. While many strong platforms have fallen short when it comes to providing relevant and comprehensive search results, Perplexica addresses these shortcomings with its unique artificial intelligence (AI) capabilities. Most conventional search engines bank heavily on keywords, causing discomfort when users make more…

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Perplexica: The Open-Source Alternative Simulating Billion Dollar Complexity for AI Search Instruments

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Open Source Projects, Staff, Tech News, Technology, UncategorizedJune 10, 202467Views0Likes0Comments
In the modern digital world, search engines are the gateways to accessing relevant information. Traditional search engines deploy keyword-based algorithms, searching indexed web pages for matches. Although effective for uncomplicated search queries, these systems lack the capacity to comprehend complex or context-dependent inquiries. As a remedy, some AI-powered search engines have incorporated advanced language models…

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