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How to train a model with 10^11 parameters without running out of GPU memory? Use DeepSpeed from Microsoft Research! It's PyTorch compatible. It partitions the network onto multiple processors automatically and efficiently.

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Some little side project of mine 😋 microsoft.com/en-us/research…

The new language model our teams built is the largest and most powerful one ever created – a milestone with the promise to transform how technology understands and assists us. microsoft.com/en-us/research…

Orca 2.5 7B with surpasses older versions of GPT-4 in AlpacaEval. 🤯 One of the key technique implemented in this model was the new DNO method Paper - "Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences" It outperforms models with far

🚀 I am thrilled to introduce SnowflakeDB 's Arctic Embed 2.0 embedding models! 2.0 offers high-quality multilingual performance with all the greatness of our prior embedding models (MRL, Apache-2 license, great English retrieval, inference efficiency) snowflake.com/engineering-bl…🌍

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