The Key to my GPT

Good afternoon human,

Thanks for opening and reading this week. We have now crossed over the yearly mark of TeacherPrompts which is incredibly exciting. I am so grateful that nearly 2,000 of you have decided to sign up for your weekly dose of AI advancements and prompt ideas and suggestions, thank you.

This week we have to look at an ethical issue around the use of using Generative AI (GenAI) and that is the impact on the environment.

📚 Knowledge builders

• ½ a smart phone charge → For every generative image that is created it uses the same amount of energy as charging a smartphone from 0-50%. Given that many AI image generation tools, provide around four options, that is the equivalent energy use of charging a smartphone from 0-100% twice.

• 626,000 pounds of carbon dioxide → Research from 2019 suggests that training just one Natural Language Processing (NLP) model, like the early models of ChatGPT, add 626,000 pounds of carbon dioxide emissions.

  Other statistics around the environmental impact of AI models can be found here.

  A regularly occurrence in the news or on X is the call for greater AI literacy. if that is an avenue you wish to explore, it would be remiss to not include the environmental impact of this technology.

🤖 Industry updates

• KeyGPT → School administration and statutory guidance supper website ‘The Key’ have launched their own AI tool, KeyGPT. While not mentioned specifically, I imagine it uses an OpenAI model for the basis of its functionality. The special sauce comes in the fact that The Key has added all their resources on school administration and statutory guidance into its data set. This means leaders could produce letters, or the outline of CPD knowing that part of the training data comes from a trusted source.

  If you have used KeyGPT, I would love to hear from you. Please get in touch with the feature that has saved you the most amount of time.

• Learning Systems Report → The American-based educational non-profit, Bellwether, has released three reports to support school leaders and policymakers on the use of AI in schools. The reports focus on the following points:

  Foundations > A starter guide to AI developments and implications for education.

  Considerations > Looks at the technology platforms, policy and the experiences of people using GenAI right now.

  Application > Case studies to the use of GenAI right now in the American school system.

✨ Fresh prompts

1. Translate this → As these LLMs contain data from all across the internet, this often means that they have been trained on the same data in multiple languages. As a result of this, they are excellent at translating information.
   
   We recently had to check the accuracy of some translations for out MFL and ChatGPT came to the rescue. One way to do this is to upload a document. Do this by clicking the ‘paperclip’ in the bottom right hand side of the context window.

You can then use a prompt, such as:

You are an expert in translating between Spanish and English and vice versa. Check this document for accuracy in its translations. Provide an explanation as to what the translations errors are and a page number and/or heading where the errors can be found on the document. 

As ever, thanks for reading and keep on prompting! Mr A 🦾