Articles: Expository
- Large Language Models, Explained with a Minimum of Math and Jargon *
- by Timothy B. Lee and Sean Trott; Understanding AI, July 27, 2023
- AI vs. Machine Learning vs. Deep Learning vs. Neural Networks
- IBM Data and AI Team; July 6, 2023
- Tokenization in large language models, explained
- by Sean Trott; The Counterfactual, May 2, 2024
- How computers got shockingly good at recognizing images
- by Timothy B. Lee; Ars Technica, Dec. 18, 2018
Articles: Miscellaneous
- Open Source AI Is the Path Forward | Meta
- What We Learned from a Year of Building with LLMs (Part II)
- O’Reilly, May 31, 2024
- What We Learned from a Year of Building with LLMs (Part I)
- O’Reilly, May 28, 2024
- When Colorless Green DNNs Sleep Furiously in an Unexplainable Fantasy
- by Walid Saba; Communications of the ACM, May 16, 2024
- Generative Baseline Hell and the Regulation of Machine-Learning Foundation Models
- Lawfare, May 8, 2024
- How Generative AI Fits into Knowledge Work
- by Mari Sako; Communications of the ACM, Mar. 6, 2024
- How to Use AI to Improve Your Public Speaking
- by Bob Ewing; Talking Big Ideas, Mar. 10, 2023
Courses
- Best Generative AI Courses Online with Certificates [2024]
- Coursera
- Generative AI for Software Developers Specialization | IBM
- Coursera (3 courses)
- IBM AI Developer Professional Certificate
- Coursera (10 courses)
Learning Resources
- The Counterfactual
- Sean Trott | Substack
- Generative artificial intelligence
- Wikipedia
- One Useful Thing
- Ethan Mollick | Substack
- Understanding AI
- Timothy B. Lee