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Here are some resources for learning more about Generative AI.
These shared chats have the prompts and responses of a conversation with ChatGPT. These are based on some of the exercises and tutorials in the course.
Microsoft have a great course Introduction to Generative AI. This comes highly recommended.
At a recent Turing Institute lecture, Mirella Lapata gave a wonderful overview. What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata
Henrik Kniberg has a short video on how to survive and thrive in the age of AI. Generative AI in a Nutshell.
Google has a good Introduction to Generative AI on YouTube.
Andrej Kaparthy explains the maths of back propagation in neural nets. The spelled-out intro to neural networks and backpropagation: building micrograd.
The Economist, March 2024, How to stop large language models making things up. AI models make stuff up. How can hallucinations be controlled? (economist.com)
The Economist, March 2024, The Mistral Model may be smaller, cheaper, more open and possibly better than ChatGPT, and it’s French! Meet the French startup hoping to take on OpenAI (economist.com)
If you plan to experiment with data analysis using LLMs here are a couple of good public datasets
Microsoft has a useful user guide for effective prompting here.
Copilot is built on ChatGPT but also takes into account your data and activities in your Microsoft account (recorded in the Microsoft Graph). Here is a good summary.
ChatGPT vs. Microsoft Copilot: What’s the difference?
The Copilot Labs are are great start for exploring Copilot’s capabilities.