Shaw Talebi

Subscribers 91.2K

Videos 172

Views 4.3M

Channels Like Shaw Talebi

Shaw Talebi produces AI-focused educational content, including tutorials and overviews on large language models, model fine-tuning, RAG, and ML deployment, with titles such as 'Fine-tuning Large Language Models (LLMs) | w/ Example Code' and 'How to Build an LLM from Scratch.' The channel emphasizes tutorials and practical coding guidance, and averages around 228.1K views per video, with frequent uploads since joining in September 2020.

AI summary

Similar Channels

We found 47 YouTube channels similar to Shaw Talebi

IBM Technology YouTube channel thumbnail

#1

IBM Technology view on YouTube

86% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 36

SERP 100%

Similarity 77%

LLM fine tuning RAG search techniques transformer tutorial

Both target audiences interested in LLMs, fine-tuning, and RAG techniques demonstrated by high search overlap (100%) for queries like LLM fine tuning and RAG search techniques, with IBM showing substantial but somewhat different instructional content (77% content match) compared to Shaw Talebi.

AI summary

freeCodeCamp.org YouTube channel thumbnail

#2

freeCodeCamp.org view on YouTube

60% relevance

Subscribers 11.5M

Videos 2.1K

Views 954.1M

Appearances 20

SERP 31%

Similarity 79%

LLM fine tuning RAG search techniques Hugging Face basics

Shares a focus on LLM fine tuning, RAG techniques, and Hugging Face basics inferred from high search overlap (31%) but broader, tutorial-oriented content (79% content match) than Shaw Talebi.

AI summary

#3

KodeKloud view on YouTube

58% relevance

Subscribers 322K

Videos 964

Views 25.5M

Appearances 10

SERP 24%

Similarity 81%

LLM fine tuning RAG search techniques chatbot development

Targets LLM fine tuning, RAG search techniques, and chatbot development similar to Shaw Talebi, with strong content alignment (81% content match) but a somewhat narrower or differently styled delivery reflected in the 24% search overlap.

AI summary

#4

codebasics view on YouTube

55% relevance

Subscribers 1.5M

Videos 1.1K

Views 153.6M

Appearances 14

SERP 23%

Similarity 76%

LLM fine tuning transformer tutorial ML model evaluation

Covers LLM fine tuning and transformer tutorials akin to Shaw Talebi, with substantial content similarity (76% content match) but lower search overlap (23%), indicating similar topics presented in a different audience hook.

AI summary

#5

AssemblyAI

53% relevance

Subscribers 180K

Videos 412

Views 16.5M

Appearances 5

SERP 17%

Similarity 77%

Hugging Face basics ML model evaluation Hugging Face fundamentals

Aligns on topics like Hugging Face basics and ML model evaluation, showing a moderate content similarity (77% content match) and limited search overlap (17%), suggesting similar technical focus but different audience reach.

AI summary

#6

Hugging Face

52% relevance

Subscribers 129K

Videos 363

Views 5.1M

Appearances 2

SERP 7%

Similarity 83%

Hugging Face basics Hugging Face fundamentals

Directly overlaps on Hugging Face basics and fundamentals, evidenced by strong topic alignment (83% content match) yet minimal search overlap (7%), indicating a shared niche but divergent discovery paths.

AI summary

Content Landscape

Discovered competitors: IBM Technology (86% match) and freeCodeCamp.org (60% match) top the list due to overlapping topics like LLM fine tuning, RAG search techniques, and transformer tutorials. KodeKloud (58% match) also aligns on LLM fine tuning and RAG, while codebasics (55% match) shares LLM fine tuning and ML model evaluation. AssemblyAI (53% match) overlaps on Hugging Face basics and ML evaluation. Shaw Talebi has 91.2K subscribers, while IBM Technology leads with about 1.6M subscribers and freeCodeCamp.org with about 11.5M, indicating a significant size gap but similar topic footprint in AI education and model deployment content.

AI summary

Video Highlights

Didn't Make the Cut

41 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	52%	Krish Naik	77%	1.4M	15%	14
#8	52%	Data Professor	79%	219K	11%	5
#9	51%	Umar Jamil	81%	84.6K	8%	6
#10	51%	BI Insights Inc	82%	19.2K	5%	1
#11	51%	pixegami	80%	83.3K	7%	3
#12	51%	Angel Poon	77%	17.6K	11%	2
#13	51%	NeuralNine	76%	461K	13%	7
#14	50%	Daniel	75%	5.4K	13%	5
#15	50%	Marina Wyss - AI & Machine Learning	75%	128K	12%	4
#16	50%	3Blue1Brown	73%	8.2M	16%	7
#17	50%	365 Data Science	75%	368K	12%	6
#18	50%	Tech With Tim	73%	2.0M	15%	13
#19	49%	StatQuest with Josh Starmer	71%	1.6M	17%	9
#20	49%	Infinite Codes	77%	128K	7%	3
#21	49%	AI For Beginners	78%	26.2K	7%	2
#22	49%	Simplilearn	74%	6.1M	12%	6
#23	48%	Bo Sar	77%	34.6K	6%	2
#24	48%	Ken Jee	71%	276K	15%	10
#25	48%	Anas Riad	77%	11.5K	5%	6
#26	48%	Data Science Dojo	77%	119K	5%	2
#27	48%	Cloud X Berry	75%	43.7K	7%	2
#28	48%	Programming with Mosh	71%	5.0M	12%	4
#29	47%	The Coding Sloth	73%	593K	8%	2
#30	47%	CampusX	75%	683K	5%	4
#31	47%	WeCloudData Academy	75%	3.1K	5%	2
#32	47%	AI Master	75%	257K	5%	2
#33	47%	ByteByteGo	71%	1.4M	11%	6
#34	47%	Code Collider	73%	3.7K	7%	2
#35	46%	ArjanCodes	72%	321K	9%	4
#36	46%	Python Simplified	70%	285K	11%	3
#37	46%	CodeTekTeach	73%	3.2K	5%	3
#38	45%	UVA School of Data Science	72%	2.9K	5%	1
#39	45%	CareerFoundry	71%	306K	7%	2
#40	45%	Matt Williams	72%	94.5K	5%	2
#41	45%	TechWorld with Nana	69%	1.4M	8%	4
#42	45%	Dr. Raj Ramesh	71%	104K	5%	1
#43	44%	Exponent	70%	481K	6%	3
#44	44%	Eric Roby	70%	38K	5%	2
#45	42%	Stan	67%	3.9K	5%	1
#46	42%	alpacaly ever after	67%	5.8K	5%	1
#47	40%	Low Level	63%	1.1M	5%	1

Search Queries Used

data science portfolio LLM fine tuning RAG search techniques transformer tutorial Hugging Face basics natural language processing models machine learning deployment FastAPI deployment Docker ML services single GPU fine tuning chatbot development AI engineering foundations ML model evaluation Llama models training Python ML code examples data science portfolio tips LLM fine tuning guide RAG search strategies transformer tutorial basics Hugging Face fundamentals NLP model types ML deployment patterns FastAPI ML apps Docker for ML workloads GPU vs CPU fine tuning chatbot development steps ML model evaluation metrics Llama training basics Python ML coding patterns data science project workflow model versioning strategies MLOps for beginners probabilistic data modeling batch vs streaming data processing

Frequently Asked Questions

Which YouTube channels are most similar to Shaw Talebi?

IBM Technology — 86% match, 1.6M subscribers; freeCodeCamp.org — 60% match, 11.5M subscribers; KodeKloud — 58% match, 322K subscribers. All three channels focus on technology and software topics, including coding, AI, and tech tutorials, similar to Shaw Talebi's emphasis on ML, AI, and data science education.

What type of content does Shaw Talebi make?

Shaw Talebi creates educational content about AI, ML, and data science, with titles such as Fine-tuning Large Language Models, How to Build an LLM from Scratch, and ML Foundations for AI Engineers. The channel appears to upload multiple videos, with an average of about 228.1K views per video across recent uploads.

How do we determine which channels are similar to Shaw Talebi?

We analyze Shaw Talebi'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.

Analyze Another Channel

Discover similar channels for any YouTube creator

Channels Like Shaw Talebi

Similar Channels

Is this your YouTube channel?

Content Landscape

Video Highlights

Didn't Make the Cut

Search Queries Used

Frequently Asked Questions

Analyze Another Channel