It was only six months ago when OpenAI released ChatGPT, the mind-blowing player in the large language model (LLM) ecosystem.
ChatGPT definitely changed people’s minds on using LLMs. Approximately two months after it was released, ChatGPT became the fastest growing consumer software application, gaining more than 100 million users.
It is safe to say that technology on AI evolves with LLMs. Over 1000 plugins that allow for a more efficient and practical use of LLMs have been created by developers. LangChain, an open-source framework for developing applications with LLMs has almost 50k stars on GitHub (as of writing this article).
These are great advancements and making the AI technology embraced by developers. However, at the same time, it becomes more difficult to follow the latest trends in AI.
Thankfully, there is no shortage of learning materials, which brings us the main topic of this article. DeepLearning.AI releases 3 free courses, which focus on the latest technology in the field of AI. In this article, we will talk about what they cover in detail and how to make the most out of them.
It is important to note that they’re free as of writing this article but may not be in the future.
The courses are short and you can finish them in about an hour. However, I strongly recommend spending more time on them. The code explained in the courses are shared via a notebook. It’s best to go through the code on your own, execute it, and tweak it to see how the output changes.