65 Simple Steps to AI Mastery

ai.md

𝟬. 𝗠𝗮𝘁𝗵𝘀 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀:

0. 3Blue1Brown's Playlist on Linear Algebra: https://lnkd.in/dzmDWiY4
1. Khan Academy's Series: https://lnkd.in/d-B2wubX
2. Coursera's 'Maths for ML' Specialization: https://lnkd.in/dx_XwKaX
3. All Math Concepts You Need for AI: https://lnkd.in/dSwfSg4W
4. The AI Math Roadmap: https://lnkd.in/dTdz-__Z

𝟭. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗔𝗜:

5. Python for Data Science Handbook: https://lnkd.in/dSnEhfmi
6. RealPython with Learning Paths and Topics: https://realpython.com/
7. 10 Free Sources to Learn NumPy, Pandas, and Keras: https://lnkd.in/dHFkb-dn
8. Dive into Deep Learning end-to-end Course with PyTorch: https://lnkd.in/dtD9sRmr
9. Practice Deep Learning with PyTorch: https://course.fast.ai/

𝟮. 𝗟𝗟𝗠𝘀 𝟭𝟬𝟭:

10. The Hugging Face Hub: https://lnkd.in/dCXgz5pg
11. The Illustrated Transformer Model: https://lnkd.in/dYEhKxNK
12. Series of Articles to Experiment with LLMs: https://lnkd.in/d6xM9ejR
13. Prompt Engineer Guide with Techniques: https://lnkd.in/dq9VGxbf
14. LLM APIs: https://lnkd.in/d97Hc7VP

𝟯. 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻:

15. Top 5 VectorDBs Compared: https://lnkd.in/dwrVCTWF
16. Overview of the RAG Process: https://lnkd.in/dWhDZU2H
17. Build a Q&A RAG Pipeline with Langchain: https://lnkd.in/dhJvk9MJ
18. Build Production-Ready Rag Applications: https://lnkd.in/dDdfyEfw
19. LLM Agents with Pinecone: https://lnkd.in/dZjMCf-j

𝟰. 𝗠𝗟𝗢𝗽𝘀 𝗳𝗼𝗿 𝗟𝗟𝗠𝘀:

20. Deploying Locally: https://lmstudio.ai/
21. Build a Basic Streamlit App: https://lnkd.in/dGNhQEyF
22. Optimizing LLMs for Speed and Memory: https://lnkd.in/d299t2jh
23. Deploy LLMs on SageMaker using Hugging Face: https://lnkd.in/dUGT4tk9
24. Develop and Optimize LLMs for Native Devices: https://lnkd.in/dvwmCcYx