The amazing advances in the field of artificial intelligence that we are witnessing have the potential to significantly transform a wide variety of industries. The reputed investment bank Goldman Sachs estimates that this trend will impact, in one way or another, on 300 million jobs. Some will disappear and some will change to adapt.
The labor market has begun to demand talent with very specific skills and, as in other moments in history, new professions are emerging. This is precisely where prompt engineers come into play, that is, people capable of getting the most out of AI solutions thanks to their ability to make highly targeted and specific requests to AI systems.
OpenAI, behind a free prompt engineering course
A clear example of the importance of fine-tuning the ‘prompts’ can be found in the generation of images through applications such as Midjourney, DALL·E or Stable Diffusion. While more specific whatever our requests, the better results we will obtain. This scenario also applies to developers looking to integrate large language models (GPT-3.5 and GPT-4) in building applications.
In this sense, as point out our colleagues from Genbeta, OpenAI together with DeepLearning.AI have launched a course titled ChatGPT Prompt Engineering for Developers. “You will be able to rapidly develop capabilities that will allow you to learn to innovate and create value in ways that were previously cost-prohibitive, highly technical, or simply impossible,” the course description on its website says.
Registrants will be immersed in 1.5 hours of video-guided training content by Fulford (OpenAI) and Andrew Ng (DeepLearning.AI). In addition, as we have been able to verify, they will find code samples and even the transcription of the audio. On the plus side, it’s intended for beginner developers (although they should have a basic understanding of the Python programming language).
Regarding the scenario of application of what has been learned in the course, those responsible affirm that it will provide a guide on the best practices of rapid engineering of prompts and will show how the API of the large language models can be used to create text summary apps, inference of information, expansion of ideas and even the possibility of learning how to create a personalized chatbot.
Training, as we say, is free. Sign up as easy as access its profile in DeepLearning.AIpress on Learn for Free and register with an email. It should be noted, yes, that the course is “free for a limited time.” At the time of publishing this article, no payment is yet required to be able to do it.
Images: Hitesh Choudhary | Nguyen Dang Hoang Nhu
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