Recently, large language model (LLM) based text-to-speech (TTS) systems have gradually become the mainstream in the industry due to their high naturalness and powerful zero-shot voice cloning capabilities. Here, we introduce the IndexTTS system, which is mainly based on the XTTS and Tortoise ...
1,292 0.65 stars / hour Paper Code Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback pku-alignment/align-anything• •20 Dec 2024 In this work, we make the first attempt to fine-tune all-modality models (i. e. input and output with any modality...
microsoft/Magma • • 18 Feb 2025 We present Magma, a foundation model that serves multimodal AI agentic tasks in both the digital and physical worlds. Robot Manipulation 912 2.10 stars / hour Paper Code Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction stepfun...
APL Machine Learning Resistance transient dynamics in switchable perovskite memristors Juan Bisquert; Agustín Bou; Antonio Guerrero; Enrique Hernández-Balaguera APL Mach. Learn. 1, 036101 (2023) https://doi.org/10.1063/5.0153289 A...
What is the latest development in artificial intelligence? A. Deep learning B. Machine learning C. Robotics D. Virtual reality 相关知识点: 试题来源: 解析 A。深度学习是人工智能的最新发展。听到关于人工智能最新发展的描述时,要能辨别出深度学习这个选项,考查对人工智能领域发展的了解。
Machine learning will _ in the future. A. develop rapidly B. develop slow C. developed rapidly D. developed slow 相关知识点: 试题来源: 解析 A。本题考查一般将来时以及副词修饰动词。will 后面接动词原形,排除 C 和 D。“rapidly”表示快速地,符合机器学习未来发展趋势的积极预测,“slow”表示缓慢,...
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In recent years, there has been a notable surge in research on machine learning techniques for combinatorial optimization. It has been shown that learning-based methods outperform traditional heuristics and mathematical solvers on the Traveling Salesman Problem (TSP) in terms of both performance and co...
Machine learning is a way of teaching computers to do tasks. In the past, to do anything computers depended on detailed, step-by-step instructions written by a person. But with machine learning, computers pick up new skills on their own, using examples or experience. This makes machine learn...