Visual guide
The Illustrated Transformer
Beginner to intermediate
Transformer architecture still feels fuzzy.
AI educator
The Illustrated Transformer
Still one of the clearest visual explanations of transformer concepts.
Start with: Read The Illustrated Transformer, then The Illustrated GPT-2.
Visual guide
Beginner to intermediate
Transformer architecture still feels fuzzy.
Visual essays
Beginner to intermediate
Use this when you want Jay Alammar's material for transformers and related AI skills.
Visual learners, developers should start here when they need transformers, embeddings, and llm concepts. The strongest fit is a learner who wants material in these formats: visual essays.
Read The Illustrated Transformer, then The Illustrated GPT-2. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
Still one of the clearest visual explanations of transformer concepts. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.
Compare the skill coverage, the starting recommendation, the educator's own resources, and any videos when available. If you need transformers, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.
| Resource | Kind | Level | Use when |
|---|---|---|---|
|
Cohere models overview
Cohere
|
Model docs | Beginner to advanced | You need to choose between current Cohere Command, embedding, and rerank models for grounded enterprise search. |
|
Qwen Model Studio model list
Qwen
|
Model catalog | Intermediate | You need the current hosted Qwen and third-party model catalog with modality coverage and capability splits. |
|
Cohere Embed guide
Cohere
|
Guide | Intermediate | You want Cohere's official embedding guidance for multilingual retrieval, semantic search, and RAG ingestion choices. |
|
Cohere Embed Jobs API
Cohere
|
API docs | Intermediate | You need Cohere's bulk embedding workflow for larger corpora instead of issuing one embedding request per document at ingestion time. |
|
Perplexity Embeddings API
Perplexity
|
API docs | Intermediate | You want the official Perplexity embeddings entry point before designing retrieval, semantic search, or hybrid RAG pipelines around its newer embedding models. |
|
RAG with Perplexity Embeddings
Perplexity
|
Guide | Intermediate | You want Perplexity's practical guidance for turning its embeddings and search stack into a real RAG workflow instead of reading only low-level API docs. |
|
Hugging Face model hub
Hugging Face
|
Model catalog | Beginner to advanced | You need to discover, compare, and run open model checkpoints, datasets, and demos. |
|
Hugging Face LLM Course
Hugging Face
|
Free course | Beginner to intermediate | You need the Transformer, LLM, and inference basics behind many AI apps. |
|
Pinecone Learn: Retrieval-Augmented Generation
Pinecone
|
Guide | Beginner to intermediate | You need to understand the moving parts of RAG. |
|
James Briggs AI tutorials
James Briggs
|
YouTube tutorials | Beginner to intermediate | Use this when you want James Briggs's material for vector search and related AI skills. |
|
Sentence Transformers
Nils Reimers
|
Docs | Intermediate | Use this when you want Nils Reimers's material for embeddings and related AI skills. |
|
Hugging Face LLM tutorials
Phil Schmid
|
Tutorials | Intermediate to advanced | Use this when you want Phil Schmid's material for open models and related AI skills. |