Best Transformer Architectures Newsletters in 2026
NewsletterFIT tracks 14 newsletters that cover Transformer architectures as a primary topic, 7 of them with posts in the last 90 days. By publicly shown subscriber count, the largest are ByteByteGo Newsletter (1M), Niharika Batra (21K) and AwesomeNeuron (14K).
Updated Nov 11, 2026 · sorted by publicly shown subscribers · methodology
- 1ByteByteGo Newsletter1M subscribers
SubstackSeveral times a week · last post 10 days ago
Explain complex systems with simple terms, from the authors of the best-selling system design book series. Join over 1,000,000 friendly readers.
Likely audience: ML engineers
Sponsors detected:
- 2Niharika Batra21K subscribers
SubstackSeveral times a week · last post 8 days ago
Data Scientist | AI/ML | Women in Data Making AI, Machine Learning and Data Science easier to understand - one concept at a time
Likely audience: Data scientists
- 3AwesomeNeuron14K subscribers
Substacklast post Jun 7, 2026
From recent posts: AwesomeNeuron publishes in-depth technical articles on Large Language Model architecture, context engineering, and multi-agent system patterns. The publication targets developers and engineers seeking practical…
Likely audience: ML engineers
- 4
SubstackWeekly · last post 12 days ago
From recent posts: This article explores how large language models develop a conditioned reflex toward syntactic closure, drawing parallels between Pavlovian conditioning and the structural requirements of programming code and markup lang…
Likely audience: ML researchers
- 5
LinkedInEvery two weeks · last post 26 days ago
Deep Tech Sambar is your daily disrubtiv signal where frontier technologies meet the spice of human imagination.
Likely audience: AI researchers
- 6
SubstackMonthly or less · last post 12 days ago
An inclusive space for professionals to create educational content
Likely audience: Data scientists
- 7
SubstackMonthly or less · last post 12 days ago
ML Engineer writing about GenAI | Open Sourcerer (BERTopic, PolyFuzz, KeyBERT) | Author of "Hands-On Large Language Models".
Likely audience: ML engineers
- 8
SubstackMonthly or less · last post Sep 8, 2026
From recent posts: Mathias Lechner publishes analytical essays on AI infrastructure, covering foundation model training, AI coding assistants, and LLM inference economics. The newsletter is written for readers interested in the technical…
Likely audience: ML researchers
- 9
Substacklast post Aug 11, 2026
From recent posts: manishmazumder5 publishes technical articles on large language models, covering token generation, transformer inference, and fine-tuning methods such as full fine-tuning, LoRA, and QLoRA with Hugging Face code examples…
Likely audience: ML engineers
- 10The Deep Dive30K subscribers
Substacklast post Aug 1, 2024
From recent posts: The Deep Dive publishes technical deep dives into Large Language Model infrastructure, architecture, and security for data scientists and NLP enthusiasts. Content focuses on specific topics including inference…
Likely audience: AI researchers
- 11Will Alaynick PhD on Substack1K subscribers
Substacklast post Apr 26, 2026
From recent posts: The article introduces generalist biological artificial intelligence, explaining how transformer models are being applied to DNA, RNA, and protein sequences to interpret biological data. It discusses the challenges of c…
Likely audience: life science investors
- 12The Code Compass1K subscribers
Substacklast post Sep 9, 2024
From recent posts: The Code Compass publishes technical tutorials and visual guides on Large Language Model architectures, fine-tuning methods, and Retrieval Augmented Generation implementations. It targets developers and researchers…
Likely audience: ML engineers
- 13
Substacklast post Jan 25, 2025
Weekly deep-dives on revenue impacting AI use-cases and implementation strategies. Subscribe and get our FREE curated list of top AI content creators and resources.
Likely audience: Product managers
- 14
Substacklast post Dec 19, 2025
Learn tech fundamentals in an easy and non technical language. We explain complicated tech jargons in a day-to-day language, making it easy for you to understand and learn.
Likely audience: developers
Latest posts from these newsletters
- Week 10,…Niharika Batra
- Week 10,…Niharika Batra
- Week 10,…Niharika Batra
- EP231: AI…ByteByteGo Newsletter
- Week 10,…Niharika Batra
- LLM Değerlendirmeniz…2cute2tech
- Your LLM…2cute2tech
- Week 10,…Niharika Batra
