The Complete Generative AI Engineer Cookbook for Everyone: Become a GenAI Specialist with Python
Description
There is a difference between using generative AI and understanding how it works.
This 218-page cookbook bridges that gap, taking you from the fundamentals of transformer architecture all the way through diffusion models and RAG systems with Python.
► Transformer architecture: attention, embeddings, and encoders
► Foundation models, fine-tuning, and instruction-tuning explained
► Retrieval-augmented generation and advanced RAG use cases
► Image generation with diffusion models and denoising networks
✔️ Lifetime access
✔️ Downloadable in PDF and EPUB for offline reading
This is an engineering deep dive, not a surface-level overview. If you want to truly understand what is happening under the hood of modern AI systems, this is the book for you.
Open it up and start building the expertise that sets engineers apart.
This 218-page cookbook bridges that gap, taking you from the fundamentals of transformer architecture all the way through diffusion models and RAG systems with Python.
► Transformer architecture: attention, embeddings, and encoders
► Foundation models, fine-tuning, and instruction-tuning explained
► Retrieval-augmented generation and advanced RAG use cases
► Image generation with diffusion models and denoising networks
✔️ Lifetime access
✔️ Downloadable in PDF and EPUB for offline reading
This is an engineering deep dive, not a surface-level overview. If you want to truly understand what is happening under the hood of modern AI systems, this is the book for you.
Open it up and start building the expertise that sets engineers apart.