> For the complete documentation index, see [llms.txt](https://ai-resources.alexyim.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-resources.alexyim.org/ai-learning-resources.md).

# AI Learning Resources

Framework

### **Prompt Generation**

* Intro to prompting for developers: <https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/>
* Guidebook <https://github.com/dair-ai/Prompt-Engineering-Guide/blob/main/guides/prompts-applications.md>
* Prompt Injection <https://simonwillison.net/2023/Apr/14/worst-that-can-happen/>
* <https://learnprompting.org/docs/intro>
* <https://github.com/brexhq/prompt-engineering>
* <https://github.com/mshumer/gpt-prompt-engineer>

### **Toolchaining**

* Auto GPT <https://twitter.com/aisolopreneur/status/1646928316648022058>
* <https://python.langchain.com/en/latest/index.html>

### Tools

* List of AI tools: <https://twitter.com/themetav3rse/status/1623336481648517120>
* Pitch Deck <https://beta.tome.app/>
* <https://platform.openai.com/examples>

### Continued Learning

* <https://www.coursera.org/browse/data-science/machine-learning>
* <https://www.deeplearning.ai/>
* <https://course.fast.ai/Lessons/part2.html>
* <https://github.com/openai/openai-cookbook>
* <https://github.com/Elemento24/Journey-With-Artificial-Intelligence> (**huge** list of resources)

### Job Posts

<https://jobs.lever.co/Anthropic/e3cde481-d446-460f-b576-93cab67bd1ed>

Reminder on original thinking

{% embed url="<https://twitter.com/TaschaLabs/status/1415325238854774785>" %}
