Books and Papers
A list of emerging books and papers about artificial intelligence that help make sense of how this technology can be applied effectively in business contexts.
Each entry has an abbreviated title, a link to the source document (where available) and a short description of its content. I'm interested in both abstract frameworks and concrete experiments.
concepts and frameworks
quantitative and qualitative primary data
market trends and secondary data
Read in December 2023⚓︎
Title | Description |
---|---|
LLMs generate more and better ideas faster | |
Personalised videos increase ad clicks | |
Classifying social media truth claims | |
4 perspectives on LLMs | |
Smallville agent simulation | |
Microsoft presentation on trends | |
Microsoft 6 studies | |
Ben Evans SOTA presentation | |
Open Source AI Textbook | |
Evolution of AI products and businesses | |
Jaron Lanier's take on AI | |
Detailed Function Calling Guide | |
Life trajectory embeddings - Arxiv | |
Life trajectory embeddings - Nature |
Read in January 2024⚓︎
Title | Description |
---|---|
Frameworks to test AI creativity |