OpenAI has just launched an official course —online and (temporarily) free— on artificial intelligence. And he has done so by joining DeepLearning.AI, the company of Andrew Ng, also co-founder of the Coursera course platform and former CEO of Google Brain (recently merged with DeepMind) and Baidu’s AI department.
It seems like a good profile to promote a course like this —even if you don’t know that their courses on AI launched so far are an international benchmark—, so it’s good news that he himself teaches it together with Isabella Fulford, from the OpenAI technical team.
The title of this course (“ChatGPT Prompt Engineering for Developers”) refers to the OpenAI flagship product and means ‘Prompt engineering / engineering ChatGPT instructions for developers‘.
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What does this course offer?
And, as its name suggests, this course of 1.5 hours aims to equip software developers with the necessary skills to integrate large language models (LLMs, such as GPT-3.5 and GPT-4) in creating apps.
According to the website, the course is ‘Free for now’, so don’t put it off too long…
Thus, it comes to cover a neglected niche in the market, because despite the rise of this new profession of ‘prompt engineer’, there is a certain lack of quality resources on its application to the field of programming. Now, users will be able to have information not only about the operation of LLMs, but also and use cases of the APIs of LLMs, applied to areas such as
- Summary and transformation of texts (such as the condensation of reviews, translation and proofreading of documents…).
- information inference (extraction of relevant topics…).
- idea expansion (automatic writing of e-mails…).
In addition to that, the course participants will receive information about key principles to create effective ‘prompts’ for the desired result, as well as to create custom chatbots from a certain LLM (remember that ChatGPT is the chatbot of the LLM GPT-x). To ensure hands-on learning beyond mere theory, the course will also provide a Jupyter Notebook environment where users can explore and manipulate code.
Screenshot of a course: the Jupyter notebook can be seen in the center of the screen
This offers a clue about the only formative prerequisite for this course: a basic understanding of the Pytho languageno. This does not mean that it is not very useful for all those engineers with previous experience in machine learning who want to train in the ins and outs of language models.
In the words of Andrew Ng:
“Generative AI offers many opportunities for AI engineers to develop, in minutes or hours, powerful applications that previously would have taken days or weeks. I am excited to share these ‘best practices’ to enable many more people to take advantage of this revolutionary functionality.” “.
Image | OpenAI logo + Image generated by Marcos Merino using AI (Mage.space)
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