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Изворен канал @pythonotes · Post #320 · 29 апр.

Репозитори на почитать для расширения кругозора. ▫️ Большой ликбез по экосистеме Python https://github.com/brunocampos01/understanding-the-python-ecosystem ▫️Подборка самых популярных полезностей для веб разработчиков https://github.com/ml-tooling/best-of-web-python ▫️Подборка библиотек для тех кто уважает типизацию в Python https://github.com/typeddjango/awesome-python-typing #basic#libs

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AI & Law

@ai_and_law · Post #108 · 10.09.2023 г., 08:33

🌟 AI Sunday Wonders: Meet TinyLlama, the 550MB AI Model Trained on 3 Trillion Tokens Hello, everyone! In the world of AI, smaller models are gaining immense popularity due to their efficiency on edge devices with limited memory and processing power. Enter TinyLlama, a groundbreaking project led by a research assistant at Singapore University of Technology and Design. Despite its tiny 550MB size, TinyLlama is pre-trained on a massive three trillion tokens. This compact model holds great promise for various applications, including real-time machine translation without the need for an internet connection. The project aims to complete the training of this 1.1 billion Llama model in just 90 days, utilizing 16 A100-40G GPUs. You can track its progress and loss metrics in real-time. TinyLlama shares the same architecture and tokenizer as Meta's Llama 2, making it compatible with open-source projects built on Llama. TinyLlama joins the league of smaller language models like Pythia-1b and MPT-1b, offering developers efficient options for creating cutting-edge AI applications. #TinyLlama#AIModel#AIResearch#MachineLearning#AIInnovation#TinyButMighty