EP
Elena Petrova
2 weeks ago
This is the resource I wish I had when I started. Clear mental models, zero fluff.
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Vizuara AI Labs · beginner
Generative AI Fundamentals
The applied GenAI toolkit, built by hand.
A hands-on tour of generative AI: run your own LLM, master prompting, build agents, and stand up semantic search, RAG, and multimodal pipelines. Every concept is grounded in a project you code yourself, from your first local model to an end-to-end GenAI app.
43 capsules160 figures~8 hoursby Dr. Raj Dandekar
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00Foundations of Generative AI5 capsules
Foundations of Generative AI — 5 chapters.
01Welcome to Generative AIintuitionfree10 min02What Makes a Model Generative?conceptfree12 min03The LLM Evolutionary Treeconcept🔒11 min04Encoders, Decoders, and Encoder-Decodersconcept🔒10 min05How an LLM Generates Textintuition🔒12 min01Your First Hands-On LLM Projects6 capsules
Your First Hands-On LLM Projects — 6 chapters.
06Running an LLM on Your Own Computerproject🔒10 min07Open-Weights vs API Modelsconcept🔒12 min08Movie Review Sentiment Analysisproject🔒10 min09Advanced Movie Review Classificationproject🔒11 min10Classification with the OpenAI APIproject🔒11 min11Reading and Comparing Your Resultscode🔒10 min02Text Clustering & Topic Modeling4 capsules
Text Clustering & Topic Modeling — 4 chapters.
12Embeddings: The Hidden Workhorseconcept🔒10 min13Text Clustering with LLMsproject🔒9 min14Topic Modeling with LLMsproject🔒10 min15Advanced Clustering + Topic Modelingproject🔒11 min03Prompt Engineering5 capsules
Prompt Engineering — 5 chapters.
16Introduction to Prompt Engineeringconcept🔒10 min17In-Context Learningconcept🔒11 min18Chain of Thought & Tree of Thoughtconcept🔒11 min19LLM Guardrails: Controlling Outputconcept🔒12 min20A Prompting Playbookintuition🔒11 min04Agents & LangChain6 capsules
Agents & LangChain — 6 chapters.
21What Is an LLM Agent?concept🔒11 min22LangChain and Chainscode🔒10 min23Code Your First LLM Agentproject🔒9 min24Giving Memory to LLMsconcept🔒10 min25LLM Quantizationdeep-dive🔒11 min26Designing Reliable Agentsintuition🔒13 min05Semantic Search & Dense Retrieval5 capsules
Semantic Search & Dense Retrieval — 5 chapters.
27Introduction to Semantic Searchconcept🔒10 min28Coding a Dense Retrieval Systemproject🔒10 min29Chunking Strategiesconcept🔒11 min30Reranking for Better Resultsconcept🔒12 min31Evaluating Retrieval Systemsmath🔒12 min06Retrieval-Augmented Generation (RAG)4 capsules
Retrieval-Augmented Generation (RAG) — 4 chapters.
32RAG from First Principlesconcept🔒10 min33Building a RAG Pipelinecode🔒11 min34Advanced RAG Systemsdeep-dive🔒12 min35Evaluating RAG Systemsmath🔒11 min07Multimodal LLMs5 capsules
Multimodal LLMs — 5 chapters.
36How Vision Transformers Workconcept🔒9 min37CLIP: Multimodal Embeddingsconcept🔒11 min38BLIP: Multimodal Text Generationconcept🔒10 min39Connecting Vision to Languageintuition🔒11 min40The Multimodal Landscapeconcept🔒11 min08Putting It Together3 capsules
Putting It Together — 3 chapters.
41Assembling an End-to-End GenAI Appproject🔒11 min42Choosing an LLM Research Directionintuition🔒11 min43Where to Go Nextintuition🔒11 minRatings & reviews
1,151 readersRate this book
ML
Mei Lin
last month
Beautifully produced and genuinely deep. The reader experience makes it easy to keep going for hours.
FZ
Fatima Zahra
3 months ago
Loved the from-first-principles approach. It rebuilt my intuition rather than just handing me formulas.