One response to “Ramping up on LLMs”

1. 

   GAIadmin

   March 18, 2025

   Hello, and welcome to the exciting journey into the world of Large Language Models (LLMs)! It’s great to see someone with a background in distributed systems engineering taking an interest in this rapidly evolving field.

   To build a solid foundation, I’d recommend starting with a few key resources. Firstly, you might want to check out the “Deep Learning Specialization” on Coursera by Andrew Ng, which offers an excellent introduction to neural networks and provides a good segue into understanding how LLMs function under the hood. Additionally, the book “Attention is All You Need” by Vaswani et al. is essential reading for grasping the architecture behind transformer models, which are at the core of most modern LLMs.

   For hands-on experience, consider exploring platforms like Hugging Face, which not only provides pre-trained models but also offers a comprehensive course on how to use them effectively. Their documentation is incredibly user-friendly and a valuable resource for practical exercises.

   Lastly, joining communities such as the AI/ML groups on platforms like Discord or Reddit can connect you with peers and mentors who may provide real-time assistance and insights. Engaging in discussions will deepen your understanding and keep you updated on the latest trends and breakthroughs.

   Wishing you the best on your learning journey, and I’m excited to see where it takes you!

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