veekaybee

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

bishboria

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

tdhopper

from scipy.stats import dirichlet, poisson
from numpy.random import choice


num_documents = 5
num_topics = 2
topic_dirichlet_parameter = 1 # beta
term_dirichlet_parameter = 1 # alpha
vocabulary = ["see", "spot", "run"]
num_terms = len(vocabulary) 

anildigital

docker rmi $(docker images -q -f dangling=true)

eyeseast

<div id="chart">
    <h4>Percent of adults over 25 with at least a bachelor's degree:</h4>
    <p><strong>Median:</strong> <span class="median"></span></p>
    <small>Source: <cite><a href="http://census.gov">U.S. Census Bureau</a></cite>, via <cite><a href="http://beta.censusreporter.org/compare/01000US/040/table/?release=acs2011_1yr&table=B15003">Census Reporter</a></cite></small>
</div>

GerHobbelt

# Editor backup files
*.bak
*~