Resources and official references
This course aims to be accurate and beginner friendly. The products change over time, so the best way to confirm details is to check the official sources.
OpenAI / ChatGPT (official)
- ChatGPT pricing (plans and features): https://chatgpt.com/pricing/
- Memory FAQ: https://help.openai.com/en/articles/8590148-memory-faq
- What is Memory?: https://help.openai.com/en/articles/8983136-what-is-memory
- Introducing study mode: https://openai.com/index/chatgpt-study-mode/
- Introducing ChatGPT (original announcement): https://openai.com/index/chatgpt/
Google / Gemini (official)
- Gemini subscriptions (Google AI plans): https://gemini.google/subscriptions/
- Google AI plans overview (Google One): https://one.google.com/about/google-ai-plans/
- Gemini Apps limits & upgrades (Help Center): https://support.google.com/gemini/answer/16275805
- Gemini Live overview: https://gemini.google/overview/gemini-live/
- Gemini Deep Research overview: https://gemini.google/overview/deep-research/
Foundations (history references)
- Transformer architecture (2017): Attention Is All You Need (arXiv:1706.03762) https://arxiv.org/abs/1706.03762
- Large language models (2020): Language Models are Few-Shot Learners (arXiv:2005.14165) https://arxiv.org/abs/2005.14165
Note about links
These links are provided as references. On the website they are clickable. In the PDF document they are included for transparency and future updates.