Learn AI Engineering! Learn it. Build it. Ship it for others.
Repository Index
65,264 visible repositories in the index
1–7 of 7 · Most stars
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
- course
- large-language-model
- llm
- python
TranslatedThis is a step-by-step guide to getting started with AI/LLM large models, including tutorials and demo code, taking you from APIs to local large model deployment and fine-tuning. The code files come with Kaggle or Colab online versions, so you can learn even without a graphics card. The project also has a small code playground 🎡 where you can try out some interesting AI scripts. It also includes complete Chinese mirror assignments for Hung-Yi Lee's (HUNG-YI LEE) 2024 Introduction to Generative AI course.
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
- artificial-intelligence
- deep-learning
- deep-neural-networks
- deep-reinforcement-learning
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
- aws
- bytewax
- comet-ml
- generative-ai
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
- ai-engineering
- course
- data-engineering
- deep-learning