AI: algorithms

K-Means clustering [can be expensive]

- elbow method - calc how many clusters, but can be expsensive

alt: DBSCAN which calculates how many clusters to use (density-based clustering non-parametric algorithm)

https://en.wikipedia.org/wiki/DBSCAN

books read by Jordan Peterson

the parasitic mind

return of the god hypothesis

the myth of mental illness

factfulness

east of eden

the madness of crowds

the rational optimist

an anthropologist on mars

AI: LLMs, prompting, platforms (hardware) and projects

AI Papers, Books and Datasets

Learning Transferable Visual Models From Natural Language Supervision = 
https://arxiv.org/abs/2103.00020

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Datasets

from AI Engineering:

Resources for Publicly Available Datasets

Here are a few resources where you can look for publicly available datasets. While you should take advantage of available data, you should never fully trust it. Data needs to be thoroughly inspected and validated.

Always check a dataset's license before using it. Try your best to understand where the data comes from. Even if a dataset has a license that allows commercial use, it's possible that part of it comes from a source that doesn't:

1. Hugging Face (https://oreil.ly/tlt5h) and Kaggle (https://oreil.ly/g8A4a) each host
   hundreds of thousands of datasets.
2. Google has a wonderful and underrated Dataset Search (https://oreil.ly/TgOaR).
3. Governments are often great providers of open data. Data.gov (https://data.gov) hosts hundreds of thousands of datasets, and data.gov.in (https://data.gov.in) hosts tens of thousands.
4. University of Michigan's Institute for Social Research (https://oreil.ly/VhVzp)
   ICPSR has data from tens of thousands of social studies.
5. UC Irvine's Machine Learning Repository (https://oreil.ly/jAR9e) and OpenML (https://oreil.ly/d-Yty) are two older dataset repositories, each hosting several thousand datasets.
6. The Open Data Network (https://oreil.ly/_tW6P) lets you search among tens of thousands of datasets.
7. Cloud service providers often host a small collection of open datasets; the most notable one is AWS's Open Data (https://oreil.ly/DZ5uV).
8. ML frameworks often have small pre-built datasets that you can load while using the framework, such as TensorFlow datasets (https://oreil.ly/HMJX_).
9. Some evaluation harness tools host evaluation benchmark datasets that are suff-ciently large for PEFT finetuning. For example, Eleuther AI's Im-evaluation-harness (https://github.com/EleutherAl/m-evaluation-harness) hosts 400+ benchmark datasets, averaging 2,000+ examples per dataset.

10. The Stanford Large Network Dataset Collection (hts://oreilye_B) is a great

repository for graph datasets.

Free Datasets

https://www.v7labs.com/blog/best-free-datasets-for-machine-learning

UI Modelling - annotated UIs

https://uimodeling.github.io/

Datasets - Roboflow (like HuggingFace for data)

https://public.roboflow.com/

Dataset - Anthropic use of AI by job category 

https://huggingface.co/datasets/Anthropic/EconomicIndex

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MoE (Mixture of Experts)

LLM Mixture of Experts Explained (tensorops.ai)

An Introduction to Vision-Language Modeling

Vision AI - VLMs and CNNs
- Vision Language Models
- Convolutional Neural Networks

https://arxiv.org/pdf/2405.17247

Multi-modal LLMs

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs (cambrian-mllm.github.io)

Movies: rated [for collaborative filtering]

MovieLens Latest Datasets | GroupLens

The Society of Mind

Book by Marvin Minsky

AI Engineering[Book] [O'Reilly] [Zeki recommends]

same author: Designing Machine Learning Systems- DMLS focuses on building applications on top of traditional ML models, which involves more tabular data annotations, feature engineering, and model training

LLM Engineer's Handbook [O'Reilly] by Paul Iusztin, Maxime Labonne

AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning by Laurence Moroney is a practical, code-first resource for programmers eager to master modern machine learning and generative AI

Artificial Intelligence: A Modern Approach

gen-ai news and updates

 

LocalLLaMA - gen-ai on reddit

https://www.reddit.com/r/LocalLLaMA/

LLM Leaderboard - https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard

Superintelligence

the beginning of infinity

The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

Book by Kavita Ganesan

- but neglects challenge of culture change and ethics

- profit vs ethics

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history

The Decline and Fall of the Roman Empire

- by Edward Gibbon

Black Lamb and Grey Falcon

- by Rebecca West

- A Journey Through Yugoslavia is a travel book written by Dame Rebecca West, published in 1941 in two volumes

The Lessons of History

- by Will Durant

(on marmite as solution to Middle East crises - not marmalade?)

https://www.irishtimes.com/culture/books/edward-de-bono-obituary-lateral-thinker-who-proposed-marmite-as-solution-to-arab-israeli-conflict-1.4590539

- Edward de Bono

biography

 

Go Tell It on the Mountain

- James Baldwin

Jacobo Timerman: Prisoner Without a Name, Cell Without a Number

Julius Caesar and the Roman People

Book by Robert Morstein-Marx