Awesome AI Agents › Educational & Learning Agents
The project "Quick Start Guide to Large Language Models - Second Edition" is an official repository that accompanies the book of the same name. It serves as a comprehensive educational resource for learning about large language models (LLMs) and their practical applications. The repository contains a rich collection of code snippets and Jupyter notebooks that demonstrate various techniques and use cases related to Transformer models and LLMs. The content is organized according to the chapters of the book, covering a wide range of topics from introductory concepts to advanced methods. The repository is structured into directories such as notebooks, data, and images. The notebooks directory includes detailed Jupyter notebooks for each chapter, providing hands-on examples and tutorials. These notebooks cover topics like semantic search, prompt engineering, building AI agents, fine-tuning models, advanced prompt techniques, custom embeddings, visual question answering systems, reinforcement learning, knowledge distillation, model quantization, and evaluation methods for LLMs. Users can clone the repository, install the required dependencies, and explore the notebooks to gain practical experience with LLMs. The project emphasizes educational value, aiming to help users understand and implement state-of-the-art techniques in natural language processing and AI. It also encourages contributions from the community to enhance the content further. Overall, this repository is a valuable resource for anyone interested in learning about large language models, from beginners to advanced practitioners. It bridges theoretical knowledge with practical implementation, making it easier to grasp complex concepts and apply them in real-world scenarios.
https://github.com/sinanuozdemir/quick-start-guide-to-llms
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