Microsoft PHI-2 + Huggine Face + Langchain = Super Tiny Chatbot

Author(s): Gao Dalie (高達烈)

Originally published on Towards AI.

Today, Microsoft Research released the latest version of the small language model (SLM) Phi-2, which has only 2.7 billion sets of parameters.

So, In this Post, we will learn what Microsoft Phi-2 is, Why Phi-2 is so small, and how to use Microsoft PHI-2, Huggine Face, and Langchain to create a super Chatbot

It is only about 38% the size of the most anticipated Meta Llama 2–7B (7 billion sets of parameters).

but its performance is said to be comparable to that of Meta Llama 2–7B (7 billion sets of parameters). Comparable to Llama 2–7B and Mistral-7B!

I highly recommend you read this article to the end is a game changer in your chatbot that will realize the power of Microsoft PHI-2!

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Microsoft Phi-2 SLM is trained using “textbook-quality” data, which includes synthetic datasets, general knowledge, theory of mind, daily activities, and more.

Microsoft’s Phi-2 can also solve complex mathematical equations and physics problems. On… Read the full blog for free on Medium.

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Published via Towards AI