Phi 2: Small Language Model Better Than 7B LLMs? | Google Colab Tutorial with Python

Do you need 7B+ parameters to get great performance from your Language Models? Discover how Microsoft Research's Phi-2, a 2.7 billion-parameter language model, challenges this norm by outperforming models up to 25x its size (according to Microsoft Research). We'll delve into the training methods behind Phi-2, from 'textbook-quality' training data to scaled knowledge transfer techniques. We'll load the model into a Google Colab and try it out in coding, math, reasoning, and data extraction.

Blog Post: https://www.microsoft.com/en-us/research/blog/phi-2-the-surprising-power-of-small-language-models/
Phi-2 on HF …

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