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Source channel @githubtrending · Post #14686 · May 8

#python#asr#deeplearning#generative_ai#large_language_models#machine_translation#multimodal#neural_networks#speaker_diariazation#speaker_recognition#speech_synthesis#speech_translation#tts NVIDIA NeMo is a powerful, easy-to-use platform for building, customizing, and deploying generative AI models like large language models (LLMs), vision language models, and speech AI. It lets you quickly train and fine-tune models using pre-built code and checkpoints, supports the latest model architectures, and works on cloud, data center, or edge environments. NeMo 2.0 is even more flexible and scalable, with Python-based configuration and modular design, making it simple to experiment and scale up. The main benefit is that you can create advanced AI applications faster, with less effort, and at lower cost, while getting high performance and easy deployment options[1][2][3]. https://github.com/NVIDIA/NeMo

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Addis Standard

@addisstandardeng · Post #21636 · 03/07/2026, 05:33 AM

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#African experts meet in #Rwanda for continental textile standardization African experts have convened in the Rwandan capital #Kigali for the Technical Committee (#TC 53) meeting on the standardization of textiles, textile products, and accessories. The forum, which ran from Tuesday to Friday, focused on finalizing agreements and establishing key standards and labeling systems for the textile sector, with the aim of strengthening trade and supporting economic growth within the continent's textile industry. Hermogene Nsengimana, secretary general of the African Organisation for Standardization (#ARSO), highlighted that Africa still faces a significant gap in developing common quality standards. He added that currently, only about 25 percent of the standards required for all products in the African common market have been established. Nsengimana said that ARSO has set a target to significantly reduce this gap within the...... https://english.news.cn/africa/20260307/6634375ed4a4474cab2c20d0c4a31253/c.html

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