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Large Language Models

10 resources

Level
Type

📺YouTube(2)

youtube👁️ 0

Andrej Karpathy's "makemore" series and other lectures

Andrej Karpathy (former Director of AI at Tesla, founding member of OpenAI) provides incredibly insightful and practical lectures on neural networks and deep learning, including building language models from scratch. His content is highly regarded by the ML community.

intermediate🇬🇧
youtube👁️ 0

"Attention Is All You Need" Explained by Yannic Kilcher

A detailed and highly praised explanation of the Transformer architecture, the cornerstone of modern LLMs. Yannic Kilcher's channel is known for its in-depth paper reviews.

intermediate🇬🇧

🎓Courses(2)

course👁️ 0

Hugging Face NLP Course

A free, online course by Hugging Face, a leading company in NLP tools and models. It covers transformers, fine-tuning, and using the Hugging Face ecosystem, which is crucial for practical LLM work.

beginner🇬🇧
course👁️ 0

Stanford CS224N: Natural Language Processing with Deep Learning

This highly acclaimed Stanford course provides a deep dive into NLP using deep learning, with a strong focus on transformer architectures which are fundamental to LLMs. Lecture videos and materials are usually made publicly available.

advanced🇬🇧

📚Books(1)

book👁️ 0

Speech and Language Processing

Often referred to as "J&M," this book is a classic in natural language processing. The newer editions cover neural networks and modern NLP, including concepts relevant to LLMs.

intermediate🇬🇧

🌐Websites(1)

website👁️ 0

The Illustrated Transformer by Jay Alammar

A brilliant visual explanation of the Transformer architecture, making complex concepts much easier to grasp. This is often cited as a first step for many learners.

beginner🇬🇧

📄Papers(2)

paper👁️ 0

"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" (Devlin et al., 2018)

Introduced BERT, a breakthrough in pre-training language representations using a Transformer encoder, significantly impacting the development of LLMs.

advanced🇬🇧
paper👁️ 0

"Attention Is All You Need" (Vaswani et al., 2017)

The seminal paper that introduced the Transformer architecture, which is the foundation of almost all modern Large Language Models (LLMs). Essential reading for anyone serious about understanding LLMs.

advanced🇬🇧

🎙️Podcasts(2)

podcast👁️ 0

The TWIML AI Podcast (This Week in Machine Learning & AI)

Covers a wide range of ML and AI topics, including frequent discussions and interviews related to natural language processing and large language models.

intermediate🇬🇧
podcast👁️ 0

Lex Fridman Podcast (Interviews with AI researchers)

Lex Fridman frequently interviews leading AI researchers, many of whom are pivotal in the development of LLMs. These interviews provide deep insights into the current state and future of the field. Search for episodes with guests like Ilya Sutskever, Sam Altman, Yann LeCun, etc.

beginner🇬🇧

Frequently Asked Questions

What are the best free resources to learn Large Language Models?

Dantes has curated a selection of resources for Large Language Models. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Large Language Models hard to learn?

The resources curated here cover intermediate and advanced level material. The best approach is to start with whichever format suits your learning style — video, book, or structured course.

What types of Large Language Models learning resources are available on Dantes?

Dantes curates multiple resource types for Large Language Models — including videos, books, courses, and websites — so you can learn in the format that works best for you.

How does Dantes select Large Language Models resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Large Language Models, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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