LLMForEverybody and happy-llm

These are complements—one provides conversational interview preparation and intuition-building for LLM concepts, while the other offers a structured zero-to-hero tutorial for learning LLM principles and implementation, making them natural paired resources for different learning stages.

LLMForEverybody
63
Established
happy-llm
59
Established
Maintenance 17/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 20/25
Stars: 5,847
Forks: 552
Downloads:
Commits (30d): 17
Language: Jupyter Notebook
License: Apache-2.0
Stars: 27,292
Forks: 2,515
Downloads:
Commits (30d): 1
Language: Jupyter Notebook
License:
No Package No Dependents
No Package No Dependents

About LLMForEverybody

luhengshiwo/LLMForEverybody

每个人都能看懂的大模型知识分享,LLMs春/秋招大模型面试前必看,让你和面试官侃侃而谈

This project offers a comprehensive resource for understanding Large Language Models (LLMs), providing curated interview questions and a structured study path through foundational research papers. It takes complex LLM concepts and breaks them down into an accessible format for those seeking to enter or advance in the AI/ML field. The target user is an aspiring or current machine learning engineer, researcher, or data scientist preparing for interviews or looking to deepen their LLM knowledge.

Machine Learning Engineering AI Research Data Science Technical Interview Prep Deep Learning Concepts

About happy-llm

datawhalechina/happy-llm

📚 从零开始的大语言模型原理与实践教程

This project is a comprehensive learning guide for building large language models (LLMs) from scratch. It takes you from understanding core NLP concepts to designing, training, and fine-tuning your own LLM, like LLaMA2. It's intended for students, researchers, and AI enthusiasts who want to grasp the inner workings of LLMs and develop practical skills.

natural-language-processing large-language-models machine-learning-engineering deep-learning AI-research

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