It was only six months ago when OpenAI released ChatGPT, the mind-blowing player in the big language model (LLM) ecosystem.
ChatGPT definitely modified people’s minds on using LLMs. Roughly two months after it was released, ChatGPT became the fastest growing consumer software application, gaining greater than 100 million users.
It’s protected 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 text).
These are great advancements and making the AI technology embraced by developers. Nevertheless, at the identical time, it becomes harder to follow the newest trends in AI.
Thankfully, there isn’t any shortage of learning materials, which brings us the foremost topic of this text. DeepLearning.AI releases 3 free courses, which deal with the newest technology in the sphere of AI. In this text, we are going to discuss what they cover intimately and how one can make probably the most out of them.
It’s important to notice that they’re free as of writing this text but might not be in the longer term.
The courses are short and you may finish them in about an hour. Nevertheless, I strongly recommend spending more time on them. The code explained within the courses are shared via a notebook. It’s best to undergo the code on your individual, execute it, and tweak it to see how the output changes.