sinanuozdemir/quick-start-guide-to-llms
The Official Repo for "Quick Start Guide to Large Language Models"
This project provides practical code examples and Jupyter notebooks that accompany the 'Quick Start Guide to Large Language Models - Second Edition' book. It helps practitioners understand how to build, customize, and deploy AI applications using large language models. You'll find code for tasks like semantic search, prompt engineering, fine-tuning models, and building recommendation engines, allowing you to go from raw data to working LLM-powered solutions.
374 stars. No commits in the last 6 months.
Use this if you are an AI practitioner, data scientist, or machine learning engineer looking for hands-on code examples to implement and customize large language models for various applications.
Not ideal if you are a business user or executive seeking a high-level, non-technical overview of LLM capabilities without needing to interact with code.
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Oct 07, 2025
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