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Project Notes

#341 AI Tutorials

AI training and tutorials (mainly free)

Notes

Andrej Karpathy

Nicely pitched technical intro to LLSM. Youtube introduction, currently

  • Intro to Large Language Models
  • Deep Dive into LLMs like ChatGPT
  • How I use LLMs

clip

Anthropic(Claude)

Build with the API, Claude for business use, Claude for personal use.

https://www.anthropic.com/learn

Deeplearning.AI

DeepLearning.AI was founded in 2017 by Andrew Ng to fill a need for world-class AI education. Catalog of courses from many providers.

https://www.deeplearning.ai/

Google Gemini

Google Gemini training center for use cases, and prompt engineering, plus a full 68 page guide on prompt engineering. Current modules:

  • Prompting Essentials (course: 6 hrs)
  • AI Essentials (course: 5 hrs)
  • Grow Your Business with AI (workshop: 1 hr)
  • Generative AI for Educators (course: 2 hrs)
  • Make AI Work for You (course: 1 hr)

https://grow.google/ai/

Microsoft Copilot

Prompt engineering and basics of utilizing Microsoft Copilot.

https://learn.microsoft.com/en-us/training/paths/get-started-with-microsoft-365-copilot

Microsoft AI Agents for Beginners

11 lessons covering the fundamentals of building AI Agents

https://github.com/microsoft/ai-agents-for-beginners

OpenAI Academy

Prompt engineering, and live events hosted regularly.

https://academy.openai.com/home

About LCK#341 AI

This page is a web-friendly rendering of my project notes shared in the LittleCodingKata GitHub repository.

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About LittleCodingKata

LittleCodingKata is my collection of programming exercises, research and code toys broadly spanning things that relate to programming and software development (languages, frameworks and tools).

These range from the trivial to the complex and serious. Many are inspired by existing work and I'll note credits and references where applicable. The focus is quite scattered, as I variously work on things new and important in the moment, or go back to revisit things from the past.

This is primarily a personal collection for my own edification and learning, but anyone who stumbles by is welcome to borrow, steal or reference the work here. And if you spot errors or issues I'd really appreciate some feedback - create an issue, send me an email or even send a pull-request.

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