MLWhiz/genai

This repository serves as a comprehensive collection of code examples, research papers, and practical resources from my Generative AI (GenAI) series published on MLWhiz.

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This repository provides a wealth of information for anyone looking to understand and implement Generative AI (GenAI) solutions. It brings together code examples, practical guides, and influential research papers to help you master concepts like prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning large language models. This is ideal for machine learning engineers, data scientists, and AI practitioners who want to build sophisticated AI applications.

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Use this if you are an AI practitioner, machine learning engineer, or data scientist seeking to deepen your knowledge and practical skills in building advanced Generative AI applications, from understanding foundational architectures to implementing cutting-edge techniques like GraphRAG and PEFT.

Not ideal if you are looking for a plug-and-play software tool or a simple API to integrate GenAI features without needing to understand the underlying mechanics.

Generative AI Machine Learning Engineering Large Language Models AI Application Development Data Science
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Jul 06, 2025

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