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 |
|---|---|
| Ideas are dimes a dozen |
LLMs generate more and better ideas faster |
| Personalized video advertisements |
Personalised videos increase ad clicks |
| Automated claim matching |
Classifying social media truth claims |
| How to use LLMs |
4 perspectives on LLMs |
| Generative Agents |
Smallville agent simulation |
| New Future of Work |
Microsoft presentation on trends |
| LLM productivity |
Microsoft 6 studies |
| AI and Everything Else |
Ben Evans SOTA presentation |
| Open Source SOTA |
Open Source AI Textbook |
| Unbundling AI |
Evolution of AI products and businesses |
| AI's future |
Jaron Lanier's take on AI |
| Function Calling |
Detailed Function Calling Guide |
| life2vec |
Life trajectory embeddings - Arxiv |
| life2vec |
Life trajectory embeddings - Nature |
Read in January 2024⚓︎
| Title | Description |
|---|---|
| Can AI be as creative as Humans? |
Frameworks to test AI creativity |