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SRSebastian Raschka, ML researcher and author chez Independent

Top 100 IA · États-Unis

Sebastian Raschka

Independent États-Unis

Score
8 9070 auj.
Rang
7/198 ↓4
sur 90 jours
−16−0,2 %

Sebastian Raschka est un chercheur en apprentissage automatique et en intelligence artificielle, spécialisé dans les grands modèles de langage (LLMs). Il est l'auteur de plusieurs livres, dont 'Construire un grand modèle de langage à partir de zéro', et possède une vaste expérience à la fois dans le monde académique et dans l'industrie. Raschka partage des insights techniques, des comparaisons architecturales et des benchmarks de performance des LLMs sur des plateformes comme Twitter, LinkedIn et YouTube.

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Données au 25 oct. 2026.

Les chiffres bruts · 90 derniers jours

Vues médianes
251,2 k
par publication
Interactions médianes
3,4 k
par publication
Publications
74
sur 90 jours
Abonnés
904,9 k
tous réseaux scorés

Ce qui fait le score

Centiles 0 – 100 face à tous les créateurs suivis.

  • Portée · 30 %96

    Vues moyennes par publication sur 90 jours

  • Engagement · 30 %91

    Réactions moyennes par publication

  • Audience · 30 %95

    Abonnés cumulés, rapportés à la population

  • Régularité · 10 %100

    Rythme de publication (25 posts / 90 j = 100)

Réseaux

904,9 k abonnés cumulés

RéseauAbonnésScore
Instagram@sebastianraschka8601 714t10
YouTube@Sebastian Raschka100 k6 480t4
X@rasbt531 k10 863t1
LinkedIn@sebastianraschka273,1 k8 700t1
Threads@sebastianraschka6,9 khors score

30 derniers jours

Les meilleurs posts de Raschka

  1. I just finished my new article on how language models for text classification and decision-making evolved, from bag-of-words to transformers and, of course, Jev. In particular, I am covering how various classic and co…
    LinkedIn · il y a 27 j#1
    SRSebastian Raschka, ML researcher and author chez IndependentSebastian Raschka

    I just finished my new article on how language models for text classification and decision-making evolved, from bag-of-words to transformers and, of course, Jev. In particular, I am covering how various classic and co…

    380,5 k vues4,5 k interactions

  2. Took a while, but here it is, a mega write-up on language models for text classification and, of course, Jev. It's basically a visual guide to RNNs, CNNs, transformers, and calibration, with hands-on experiments on ac…
    X · il y a 27 j#2
    SRSebastian Raschka, ML researcher and author chez IndependentSebastian Raschka

    Took a while, but here it is, a mega write-up on language models for text classification and, of course, Jev. It's basically a visual guide to RNNs, CNNs, transformers, and calibration, with hands-on experiments on ac…

    116,7 k vues2,4 k interactions

  3. I've been a bit quiet last month, since I have been heads down building a reasoning model from-scratch lecture series, which is now complete! (8 coding videos with 11 hours of content total.) In my experience, impleme…
    LinkedIn · hier#3
    SRSebastian Raschka, ML researcher and author chez IndependentSebastian Raschka

    I've been a bit quiet last month, since I have been heads down building a reasoning model from-scratch lecture series, which is now complete! (8 coding videos with 11 hours of content total.) In my experience, impleme…

    181,6 k vues2,2 k interactions

  4. Reasoning from scratch, round number 6! An introduction (and implementation) of Reinforcement Learning with Verifiable Rewards (RLVR) and Group Relative Policy Optimization (GRPO). 00:00 Introduction 01:54 What makes …
    X · il y a 23 j#4
    SRSebastian Raschka, ML researcher and author chez IndependentSebastian Raschka

    Reasoning from scratch, round number 6! An introduction (and implementation) of Reinforcement Learning with Verifiable Rewards (RLVR) and Group Relative Policy Optimization (GRPO). 00:00 Introduction 01:54 What makes …

    74,7 k vues1,7 k interactions

  5. Reasoning From Scratch: Reinforcement Learning with Verifiable Rewards (RLVR) round 2. Covering clipped policy ratios, KL loss term, format rewards, and other GRPO tips & tricks. 00:00 Introduction and recap 01:52…
    X · il y a 16 j#5
    SRSebastian Raschka, ML researcher and author chez IndependentSebastian Raschka

    Reasoning From Scratch: Reinforcement Learning with Verifiable Rewards (RLVR) round 2. Covering clipped policy ratios, KL loss term, format rewards, and other GRPO tips & tricks. 00:00 Introduction and recap 01:52…

    58,2 k vues1,3 k interactions

  6. X · hier#6
    The complete reasoning-from-scratch video series is now up (and linked) here: https://t.co/5IOHLTCIGt (Taking a short break but will be back with LLM model and research updates in November!)
    SRSebastian Raschka, ML researcher and author chez IndependentSebastian Raschka

    52,9 k vues1,2 k interactions

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