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22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
code for deep learning courses
Course demos and handouts for Talk Python's Effective PyCharm course
Beginner friendly Contribution practice!