Sebastian Raschka

Subscribers 91K

Videos 307

Views 3.1M

Channels Like Sebastian Raschka

Sebastian Raschka’s YouTube channel focuses on ML/AI topics, especially statistics, deep learning, machine learning, and Python, featuring tutorials, deep-dives, and architecture explorations. Content includes from-scratch builds of LLMs, architectural comparisons, and instructional finetuning discussions, with recent videos covering LLM architectures, construction, and pretraining. The channel publishes about 0.3 uploads per week, with an average roughly 49.7K views per video and an average 81 minutes per video.

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Similar Channels

We found 45 YouTube channels similar to Sebastian Raschka

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube ▶

84% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 49

SERP 100%

Similarity 73%

large language models LLM architectures transformer models

High search overlap on large language model topics (queries like large language models, LLM architectures, transformer models) suggests shared audience, with content focused more on institutional AI coverage than Raschka’s tutorials.

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#2

3Blue1Brown view on YouTube ▶

54% relevance

Subscribers 8.2M

Videos 229

Views 727.0M

Appearances 17

SERP 29%

Similarity 71%

large language models LLM architectures transformer models

Significant overlap in transformer and LLM topics (queries: large language models, LLM architectures, transformer models) indicates shared audience, though 3Blue1Brown emphasizes visual math explanations over Raschka’s hands-on ML tutorials.

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#3

Shaw Talebi

53% relevance

Subscribers 91.2K

Videos 172

Views 4.3M

Appearances 3

SERP 5%

Similarity 85%

finetuning language models instruction finetuning RLHF fundamentals

Strong alignment on advanced model techniques (finetuning language models, instruction finetuning, RLHF fundamentals) points to a similar technical niche, but Shaw Talebi’s content is more focused on practical model fine-tuning workflows.

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#4

Stanford Online

52% relevance

Subscribers 1.1M

Videos 2.9K

Views 77.1M

Appearances 16

SERP 15%

Similarity 76%

large language models LLM architectures transformer models

Overlap on LLMs and transformer architectures (queries) shows a shared academic-tech audience, with Stanford Online delivering structured courses rather than Raschka’s practical coding-centric tutorials.

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#5

Under The Hood

51% relevance

Subscribers 16.9K

Videos 12

Views 385.3K

Appearances 4

SERP 7%

Similarity 80%

LLM architectures pretraining language models attention mechanisms

Shared emphasis on LLM architectures, pretraining, and attention mechanisms (queries) indicates a technical audience interested in model internals, though Raschka’s content is more tutorial-based.

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#6

Julia Turc

50% relevance

Subscribers 69.9K

Videos 30

Views 1.2M

Appearances 5

SERP 10%

Similarity 77%

text generation models transformer alternatives mixture of experts

Overlap on text generation models and transformer alternatives (queries: text generation models, mixture of experts) implies a similar interest in model variants, yet Julia Turc’s focus tilts toward conceptual explorations rather than Raschka’s step-by-step coding guidance.

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Content Landscape

The top competitors are IBM Technology (84% match) and 3Blue1Brown (54% match). IBM Technology and 3Blue1Brown share overlapping queries with Sebastian Raschka around large language models, LLM architectures, and transformer models, indicating competition in high-level architecture and model understanding. Subscriptions differ significantly: Sebastian Raschka has 91K subscribers, while IBM Technology has 1.6M and 3Blue1Brown has 8.2M, highlighting a large gap in audience size but similar topic targets. Stanford Online (52% match) also overlaps on LLM architectures and transformer models, further reinforcing the common niche of ML/AI model design and training inquiries.

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Video Highlights

Didn't Make the Cut

39 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	50%	AI Research Roundup	81%	7.6K	4%	3
#8	49%	Hugging Face	76%	129K	9%	7
#9	48%	Umar Jamil ▶	77%	84.6K	3%	5
#10	48%	freeCodeCamp.org ▶	73%	11.5M	10%	11
#11	47%	Google Cloud Tech	70%	1.4M	13%	9
#12	47%	ChemCoder	76%	18.3K	3%	2
#13	47%	Jia-Bin Huang	75%	45.7K	4%	4
#14	46%	AI Thought	75%	3.9K	3%	2
#15	46%	Welch Labs ▶	74%	860K	4%	1
#16	46%	AssemblyAI	71%	180K	8%	4
#17	46%	Luis Serrano Academy	73%	195K	4%	4
#18	45%	StatQuest with Josh Starmer ▶	70%	1.6M	8%	5
#19	45%	Boris Meinardus	73%	96.9K	4%	1
#20	45%	CodeEmporium	73%	155K	4%	5
#21	45%	Tina Huang ▶	71%	1.1M	7%	2
#22	45%	Richard Aragon	72%	25.2K	4%	3
#23	45%	New Machina	71%	11.2K	5%	5
#24	45%	Vizuara	72%	203K	4%	5
#25	45%	codebasics	71%	1.5M	5%	4
#26	45%	Don Woodlock	67%	39.4K	11%	3
#27	44%	DeepLearningAI	71%	664K	5%	6
#28	44%	AI Engineer ▶	71%	375K	4%	2
#29	44%	Snorkel AI	71%	4.5K	4%	2
#30	44%	Gal Lahat	71%	27.7K	3%	2
#31	44%	Kavishka Abeywardana	71%	1.1K	4%	1
#32	44%	Steve (Builder.io)	68%	140K	6%	2
#33	43%	Tech With Tim ▶	70%	2.0M	4%	3
#34	43%	NeuralNine ▶	69%	461K	3%	4
#35	43%	Eye on Tech ▶	69%	128K	4%	4
#36	43%	Data Science in your pocket	69%	28.6K	3%	1
#37	43%	Joann Lui	69%	2.7K	3%	1
#38	43%	Analytics Vidhya	69%	150K	3%	3
#39	42%	Syntax ▶	68%	465K	4%	2
#40	42%	CodeCraft Academy	68%	3.5K	4%	1
#41	42%	Matt Williams	67%	94.5K	3%	3
#42	40%	Lex Clips	61%	1.6M	8%	5
#43	38%	AlternateHistoryHub	60%	2.5M	5%	1
#44	37%	National Geographic ▶	60%	25.9M	4%	1
#45	36%	Roxy Talks - Manifest Your Dreams ▶	57%	123K	4%	1

Search Queries Used

large language models LLM architectures transformer models pretraining language models finetuning language models instruction finetuning text generation models attention mechanisms coding attention alternative architectures unlabeled data pretraining model training from scratch LLM building blocks transformer alternatives AI model implementation language model training neural network scaling zero-shot learning instruction following model evaluation metrics data-efficient training self-supervised learning gradient checkpointing sparse models research mixture of experts prompt engineering basics RLHF fundamentals alignment challenges model distillation explainable AI techniques causal language modeling multimodal integration real-world LLM use cases debugging language models safety in AI systems

Frequently Asked Questions

Which YouTube channels are most similar to Sebastian Raschka?

IBM Technology (84% match, 1.6M subscribers) and 3Blue1Brown (54% match, 8.2M subscribers) are Sebastian Raschka's biggest competitors on YouTube. Shaw Talebi (53% match, 91.2K subscribers) is also a notable competitor. All three channels share a focus on machine learning and related topics, with IBM Technology and 3Blue1Brown covering broad topics in tech and math, while Shaw Talebi focuses on ML and AI-focused content.

What type of content does Sebastian Raschka make?

Sebastian Raschka creates content about statistics, deep learning, machine learning, and Python, as reflected in video titles like What I Learned From Implementing LLM Architectures From Scratch (And How to Get Started), A Visual Tour of Modern LLM Architectures, LLM Building Blocks & Transformer Alternatives, The Big LLM Architecture Comparison, and Build an LLM from Scratch 7: Instruction Finetuning. The channel averages about 49.7K views per video and uploads approximately 0.3 times per week.

How do we determine which channels are similar to Sebastian Raschka?

We analyze Sebastian Raschka's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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