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freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
Curated tutorials and resources for Large Language Models, AI Painting, and more.
A curated collection of interesting applications, repos, and tutorials using large language models (LLM) like GPT-3
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, andโฆ
A curated list of awesome Public Zettelkastens ๐๏ธ / Second Brains ๐ง / Digital Gardens ๐ฑ
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Jupyter notebooks for the Natural Language Processing with Transformers book
Learn Python from DevOps Engineer point of you.
18 Lessons, Get Started Building with Generative AI ๐ https://microsoft.github.io/generative-ai-for-beginners/
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Machine Learning Engineering Open Book
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
In the evolving world of Large Language Models (LLMs), crafting effective prompts has become an essential skill. That's why I've created this collection, showcasing the most impactful prompts of thโฆ
All the resources you need to get to Senior Engineer and beyond
This repository contains a series of entry-level exercises that can be solved in any programming language. The purpose of these exercises is to develop your programming logic. This repository is thโฆ
Learn to build and deploy AI apps.
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos maโฆ
A collection of learning resources for curious software engineers
๐ฅHighlighting the top ML papers every week.
This is a repo with links to everything you'd ever want to learn about data engineering