22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
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A book about the internals of the Go programming language.
- golang
- go
- internals
- book
Guide for getting a gig as a tech student.
- skills
- gig
- tech
- fellowships
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
TranslatedA collection of lists of VPN "airport" services (proxy subscription providers for bypassing the Great Firewall 🕸️) that have shut down and run off with users' money (2020-2026). Submissions are welcome. Describe objectively and stay friendly. Ads 🔗 🈲🙅❌
- limbopro
- paolujichang
- shadowsocks
- trojan
A very simple toon lit shader example, for you to learn writing custom lit shader in Unity URP
- outline
- character
- urp
- shader
🔍 A collection of interesting, funny, and depressing search queries to plug into shodan.io 👩💻
- shodan
- infosec
- pentesting
- iot
TranslatedMachine Learning Yearning Chinese version - 《机器学习训练秘籍》 (Machine Learning Training Secrets) - by Andrew Ng
TranslatedGrowth Engineering: The Definitive Guide. A guide for full-stack growth engineers
- growth
- phodal
- growth-hacking
- frontend
TranslatedPython for "Deep Learning": mathematical derivations, principle analysis, and source-code-level implementations for the book "深度学习" (Deep Learning, known as the "Flower Book")
- python
- deep-learning
- machine-learning
- xgboost
Too young, too simple. Sometimes, naive & stupid 🐌
- js
- difficulty
- blog
- es6
🗺 The Android Developer Roadmap offers comprehensive learning paths to help you understand Android ecosystems.
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
TranslatedZhou Zhihua's "Machine Learning", also known as the Watermelon Book, is a fairly comprehensive book that introduces in detail different types of algorithms in the field of machine learning (for example: supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, ensemble learning, dimensionality reduction, feature selection, etc.). It records my own line of understanding and extended knowledge points from my learning process, and I hope it helps newcomers reading the Watermelon Book!
🥞Data Structures and Algorithms explained and implemented in JavaScript + eBook
- algorithms
- javascript
- computer-science
- javascript-algorithms
Awesome Books
TranslatedTensorFlow 2 Chinese tutorials, continuously updated (current version: tensorflow2.0), tag: tensorflow 2.0 tutorials
:bathtub: Clean Code concepts and tools adapted for .NET
List of books, blogs, newsletters and people!
this repository accompanies the book "Grokking Deep Learning"
Clean Architecture template for Golang services
- clean-architecture
- go
- golang
- microservices
TranslatedOpen-source manuscript of 《深入理解 AI Infra：量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
- accelerator
- ai-infra
- ai-infrastructure
- book
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
TranslatedBook_3_"Elements of Mathematics" | Iris Book series: from addition, subtraction, multiplication and division to machine learning; now on sale; corrections are still welcome, and readers who submit many corrections will also receive free books!