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Artificial Intelligence

Microsoft’s research team has put forth the concept of Auto Evol-Instruct – a comprehensive AI system capable of developing instruction datasets employing extensive language models, without requiring any human intervention.

Large language models (LLMs) are crucial in advancing artificial intelligence, particularly in refining the ability of AI models to follow detailed instructions. This complex process involves enhancing the datasets used in training LLMs, which ultimately leads to the creation of more sophisticated and versatile AI systems. However, the challenge lies in the dependency on high-quality…

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G-Retriever: Progressing Graph Question Answering in Real-Life Situations through RAG and LLMs

Artificial Intelligence has made significant progress with Large Language Models (LLMs), but their capability to process complex structured graph data remains challenging. Many real-world data structures, such as the web, e-commerce systems, and knowledge graphs, have a definite graph structure. While attempts have been made to amalgamate technologies like Graph Neural Networks (GNNs) with LLMs,…

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Google Unveils Project Oscar: A Guideline for an AI Assistant Aiding in Maintenance of Open Source Projects

Open-source software forms the backbone of many technologies used daily by individuals globally and brings together a community of developers. However, maintaining these projects can be time-consuming due to repetitive tasks such as bug triage and code reviews. Google is looking to alleviate these repetitive tasks and reduce the manual effort involved in maintaining open-source…

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An improved and quicker method to guard against an AI chatbot providing harmful responses.

Artificial Intelligence chatbots have the capacity to construct helpful code, summarize articles, and even create more hazardous content. To prevent safety violations like these, companies employed a procedure known as "red-teaming" in which human testers crafted prompts intended to elicit unsafe responses from chatbots, which were then taught to avoid these inputs. However, this required…

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A novel artificial intelligence technique successfully identifies ambiguity in medical imaging.

In biomedicine, the process of segmentation involves marking significant structures in a medical image, such as cells or organs. This can aid in the detection and treatment of diseases visible in these images. Despite this promise, current artificial intelligence (AI) systems used for medical image segmentation only offer a single segmentation result. This approach isn't…

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Improving the Anticipatory Dialogue Capabilities of Extensive Vision-Language Models (LVLMs) with MACAROON

Researchers have been refocusing the abilities of Large Vision-Language Models (LVLMs), typically passive technological entities, to participate more proactively in interactions. Large Vision-Language Models are crucial for tasks needing visual understanding and language processing. However, they often provide heavily detailed and confident responses, even when they face unclear or invalid questions, leading to potentially biased…

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Mistral AI Unveils Codestral Mamba 7B: An Innovative Code LLM Scoring 75% on HumanEval for Python Programming

Mistral AI has announced the release of Codestral Mamba 7B, a cutting-edge language model (LLM) specializing in code generation and named in tribute to Cleopatra. Released under the Apache 2.0 license, Codestral Mamba 7B is freely available for use, modification, and distribution, a move that hopes to stimulate further developments in AI architecture research. This…

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MELLE: An Innovative Constant-Valued Tokens Based Strategy for Text to Speech Synthesis Language Modeling

In the domain of large language models (LLMs), text-to-speech (TTS) synthesis presents a unique challenge, and researchers are exploring their potential for audio synthesis. Historically, systems have used various methodologies, from reassembling audio segments to using acoustic parameters, and more recently, generating mel-spectrograms directly from text. However, these methods face limitations like lower fidelity and…

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Nvidia AI introduces an advanced version of BigVGAN, a top-notch neural vocoder changing the future of audio synthesis.

Nvidia, a leading name in the advanced technology industry, has revolutionized the realm of audio synthesis with the introduction of its neural vocoder, BigVGAN v2. This breakthrough technology stands apart in the field by virtue of its record-breaking speed, unparalleled sound quality, and adaptability, transforming Mel spectrograms into high-fidelity waveforms. One of the standout features of…

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