Engineering Education Journals
After decades of using free online services, and seeing the consequences of being the product and not the customer (see Soshana Zuboff “The Age of Survailance Capitalism”, or the Netflix documentary “The social dilemma”.), I’m getting less stingy and I try to pay for services that are truly useful to me, especially for my work.
In this post I explain how to install and use a small Python script I wrote. This script connects to the OpenAI API to use GPT-3.5_turbo to translate files from one language to another, regardless of length. You need an OpenAI API key to use the program. This API has a cost, but it’s very low, around 1 euro cent per translation.
Based on the courses I have designed and taught to over 300 university professors titled ‘ChatGPT, opportunity and challenge for teaching’, and at the request of the UPC Vice-Rectorate for University Policy, I have written this draft decalogue of recommendations. With additional contributions, this document has been presented to the community of the Universitat Politècnica de Catalunya. This is my version with some additional revisions.
Legend has it that the wise Anand (a name suggested by ChatGPT, whom I call Skippy ^2) helped King Devendra (a name also proposed by Skippy) solve a difficult problem. In gratitude Devendra offered Anand the payment he desired. Anand asked that the king give him a grain of rice for the first square of a chessboard and that he double the amount in each successive square. The king accepted, but after a good while the king’s mathematicians informed him that there was not enough wheat in the entire kingdom to pay what Anand asked for.
[Note: using OpenAI’s API has its costs. The cost of using the translator will depend on the size of the documents you translate. As a guideline, so far with development, tests, and translating a few documents I’ve spent €0.03. ]
[Note: this post has been translated with my own translator] [Note: using the API has costs; the cost of use depends on the size of the documents. As a rough guide during development, tests and various translations of 2-page documents I spent 0.0.3€ over 5 days]
On March 2, 2023, I took part in the session on AI chatbots in higher education organized by the Universitat Internacional de Catalunya UIC. At https://www.linkedin.com/events/sessi-sobrexatbotsd-intel-lig-n7034187811851235329/comments/ you can find the video of the event. Yours truly and his talk appear starting at 1h:25 minutes.
Contents # What is ChatGPT? ChatGPT is Software As A Service (SaaS) Terms and conditions Authorship rights and responsibility for ChatGPT’s outputs Cost and access What’s ChatGPT for and why is it free? ChatGPT isn’t open source Ethical aspects Ethical reflections from the creators of GPT-3 The ChatGPT Hype What is ChatGPT ? # ChatGTP is a web application based on GPT-3, specifically the GPT-3.5 “text-davinci-003” model developed by OpenAi. The ChatGPT model is optimized to work in conversational form, responding to inputs that users provide as a text “prompt”. ChatGPT is a type of Generative AI based on a Machine Learning Model . We can consider ChatGPT a weak AI (see Types of Artificial Intelligence].
If you’re an educator and you’re interested in generative AI and its applications in teaching, you’ll be glad to know you can now access the videos from the course “ChatGPT: Opportunity and Challenge for Teaching” on my YouTube channel. This course covers ChatGPT, a text-generating AI tool introduced at the end of 2022, and its implications for university teaching.
John Mc Carty lecture https://www.youtube.com/watch?v=K13_sWm_gZw&t=23s
Programar es una Mierda is a go-to podcast for talking about programming with love and humor. I think this is my third time on the show, and we always end up discussing interesting things. This time we talk about AI and programming.