Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Book . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Book . 2026
License: CC BY
Data sources: Datacite
ZENODO
Book . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

The Philosophy of LLMs & SLMs

Authors: Herrouel, Nour El Yacine;

The Philosophy of LLMs & SLMs

Abstract

Every day a new model is released. Benchmarks are broken. Leaderboards arereshuffled. The crowd chases scale. But beneath the noise, one question remainsunanswered: what truly unlocks the full potential of a small language model?The Philosophy of LLMs & SLMs is the answer the field has been avoiding. Ratherthan following the race toward ever-larger parameter counts, this book teaches thereader to take control to understand, at a philosophical and technical level, whatmakes a language model work, and how to push a small model far beyond whatits size would suggest.The book moves from the nature of data and architecture through every alignmenttechnique, efficiency trick, and modern direction including the emerging paradigmof 1-bit quantised models (BitNet) constructing a unified philosophy of languagemodel mastery.------------------------------------------------------------------------------------------- If you would like to get in touch or request access, please feel free to contact me via email at herroulenour@gmail.com or reach out through my ORCID profile. I will be happy to respond at the earliest opportunity.

Keywords

Machine Learning, Deep learning

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!