Running Microsoft Phi-3 LLM using Hugging Face | Hands-on deployment

Welcome to the third lecture of the Hands on LLM series.

In this lecture, we will do the following 3 things:

(a) Download the open source Microsoft Phi-3 LLM from HuggingFace
(b) Query the LLM
(c) Generate a response from the LLM

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Vizuara philosophy:

As we learn AI/ML/DL the material, we will share thoughts on what is actually useful in industry and what has become irrelevant. We will also share a lot of information on which subject contains open areas of research. Interested students can also start their research journey there.

Students who are confused or stuck in their ML journey, maybe courses and offline videos are not inspiring enough. What might inspire you is if you see someone else learning and implementing machine learning from scratch.

No cost. No hidden charges. Pure old school teaching and learning.

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🌟 Meet Our Team: 🌟

🎓 Dr. Raj Dandekar (MIT PhD, IIT Madras department topper)

🎓 Dr. Rajat Dandekar (Purdue PhD, IIT Madras department gold medalist)

🎓 Dr. Sreedath Panat (MIT PhD, IIT Madras department gold medalist)

🎓 Sahil Pocker (Machine Learning Engineer at Vizuara)

🎓 Abhijeet Singh (Software Developer at Vizuara, GSOC 24, SOB 23)

🎓 Sourav Jana (Software Developer at Vizuara)

[enghimanshu]

following ml and this course at the same time thanks for such amazing series. going to promote this channel in my college.

[tripchowdhry]

Thank you of rproviding the download to Jupiter notebook

[vivekmahajan]

While starting playlist please give all the prerequisites for the playlist so that one should know what it takes to understand these topics. All the terms from ml and dl that need to cover or have understanding of So that it will be more understandable.thank you for great work

[tripchowdhry]

Can u please paste the google colab Jupyter notebook