#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
Lookonchain | ꘜ
Whales are accumulating $BGB recently.
0x8900 withdrew 192,668 $BGB($936K) from #Bitget over the past 2 months.
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Notably, #Bitget has burned a total of 860M $BGB($5.25B) over the past 8 months, reducing the total supply by 43%.
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https://intel.arkm.com/explorer/address/0x7C9C4f9046ba2173fae539FE62eEFAb1aBAD1523