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SRSebastian Raschka, ML researcher and author at Independent

Top 100 AI · United States

Sebastian Raschka

Independent United States

Score
8,9070 today
Rank
7/198 ↓4
over 90 days
−16−0.2%

Sebastian Raschka is a machine learning and AI researcher specializing in large language models (LLMs). He is the author of several books, including 'Build a Large Language Model From Scratch,' and has extensive experience in both academia and industry. Raschka shares technical insights, architectural comparisons, and performance benchmarks of LLMs across platforms like Twitter, LinkedIn, and YouTube.

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Data as of Oct 25, 2026.

The raw numbers · last 90 days

Median views
251.2K
per post
Median engagements
3.4K
per post
Posts
74
over 90 days
Followers
904.9K
all scored platforms

What drives the score

Percentiles 0–100 against all tracked creators.

  • Reach · 30%96

    Average views per post over 90 days

  • Engagement · 30%91

    Average reactions per post

  • Audience · 30%95

    Total followers, relative to population

  • Consistency · 10%100

    Posting frequency (25 posts / 90 days = 100)

Platforms

904.9K total followers

PlatformFollowersScore
Instagram@sebastianraschka8601,714t10
YouTube@Sebastian Raschka100K6,480t4
X@rasbt531K10,863t1
LinkedIn@sebastianraschka273.1K8,700t1
Threads@sebastianraschka6.9Knot scored

Last 30 days

Raschka's top posts

  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 · 27 days ago#1
    SRSebastian Raschka, ML researcher and author at 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…

    380.5K views4.5K engagements

  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 · 27 days ago#2
    SRSebastian Raschka, ML researcher and author at 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…

    116.7K views2.4K engagements

  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 · yesterday#3
    SRSebastian Raschka, ML researcher and author at 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…

    181.6K views2.2K engagements

  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 · 23 days ago#4
    SRSebastian Raschka, ML researcher and author at 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 …

    74.7K views1.7K engagements

  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 · 16 days ago#5
    SRSebastian Raschka, ML researcher and author at 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…

    58.2K views1.3K engagements

  6. X · yesterday#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 at IndependentSebastian Raschka

    52.9K views1.2K engagements

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