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High-quality educational resources recommendation - AI edition

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This article recommends various educational resources for learning about AI in the context of Web3. It suggests websites like wayToAGI, which provides a comprehensive collection of AI-related materials, and the official OpenAI documentation. It also recommends courses like "ChatGPT Prompt Engineering for Developers" and "Building Systems with the ChatGPT API" for practical learning. Additionally, it mentions LangChain for LLM Application Development, a framework for developing large language models, and suggests getting hands-on experience by developing personalized tools. The article concludes by suggesting staying updated with the latest AI developments through resources like wayToAGI and exploring other AI tools and projects like MyShell.

This text is the third edition of CryptoChasers' recommended high-quality Web3 educational resources, focusing on AI. AI language models, represented by ChatGPT, have been rapidly developing, and many experts believe that this will be a major trend in the next decade. Whether in our daily use, research, or development tools in Web3, we should learn and master the basics of AI to improve productivity.

There are many tutorials on AI, and it is difficult to read them all. My recommendations are based on the advice of experts who have been working on related projects for the past six months, combined with my own browsing experience.

Tutorial Recommendations#

wayToAGI#

  • Website: wayToAGI
  • Language: Chinese
  • Type: Index

This website is an open-source knowledge space that gathers almost all useful information about AI. I highly recommend it and give it a 5-star rating. Here are some features I like:

  • Daily collection and updates of high-quality resources.
  • Provides AI learning paths, prompts, AI drawing, AI speech, and an introduction guide to digital humans for beginners.
  • Offers various technical articles for both beginners and advanced learners, suitable for browsing and searching.

The following tutorials are aimed at developers, preferably those who are familiar with Python or JavaScript.

OpenAI Official Documentation#

  • Website: OpenAI Doc
  • Language: English
  • Type: Text

Although tools like LangChain can greatly simplify the development process of LLM, it is still important to understand the principles behind these tools rather than relying on them completely. The best way is to read the official documentation and start learning from installing the official Python package with pip install openai or npm install openai. Some translations can be found in wayToAGI: ChatGPT Official Guide.

ChatGPT Prompt Engineering for Developers#

This introductory course, offered by Deeplearning.ai in collaboration with OpenAI, is taught by renowned educator Andrew Ng in the field of AI. It covers the basics and mainly focuses on how to write different types of prompts, such as summarization and translation. The website provides online notebooks that allow you to run and debug code while watching the videos, without the need for environment configuration or API application. If you have difficulty understanding spoken English, you can watch the videos with Chinese subtitles.

Building Systems with the ChatGPT API#

Also offered by Deeplearning.ai, this course is an advanced version of the previous ChatGPT Prompt Engineering for Developers course. It uses the development of a customer support assistant system as a case study to explain the principles and development process of ChatGPT. It includes some engineering content and can be complemented with the OpenAI official GPT best practices.

LangChain for LLM Application Development#

Also offered by Deeplearning.ai, this course provides an introduction to LangChain, taught by the author of LangChain. LangChain is a framework for developing large language models (LLM), similar to React for developing frontend apps, and it greatly simplifies the difficulty of LLM development. Going through the examples with the author makes it easier to understand compared to just reading the documentation. There is also another LangChain-related course called LangChain: Chat with Your Data, which focuses on how to use LangChain to create a local document question-answering tool, providing a practical approach.

What's Next?#

Next, I suggest that you start developing your own tools based on LLM to deepen your understanding through practice. Although there may already be products on the market that meet your needs, developing a personalized tool that integrates with your workflow is undoubtedly a cool thing to do.
As for obtaining information about AI, it is enough to stay updated by following wayToAGI.
You can also try using other AI tools to see how others are creating AI products. I recommend a Web3+AI project called MyShell, where holding their NFT allows you to use the ChatGPT 4.0-based API bot for free up to a certain limit every day, and you can also earn NFTs by completing tasks.

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