9788169646833_

One Architecture. Infinite Intelligence.

Book Description

Transformer architectures have become the unified foundation of modern AI - powering language models, computer vision systems, and multimodal applications that process text, images, and speech together. Ultimate Multimodal Transformer Models provides a comprehensive, hands-on guide to mastering every major Transformer variant, from foundational encoder-decoder architectures to cutting-edge vision-language models and production GenAI systems.

You begin with the core building blocks of Transformer architecture and text data preparation, then progressively advance through encoder-only models, generative LLMs, RAG, Agentic workflows, and efficient fine-tuning using PEFT, LoRA, and QLoRA. The book then transitions into Vision Transformers, covering ViT, DETR, SAM, CLIP, and Flamingo, before bringing everything together in real-world multimodal applications combining text, vision, and speech using PyTorch and Hugging Face throughout.

What you will learn

? Build and deploy Transformer models for text, vision, and multimodal AI tasks.

? Fine-tune large language models efficiently using PEFT, LoRA, and QLoRA techniques.

? Develop production-ready GenAI applications using RAG pipelines and Agentic AI workflows.

? Apply LLMs to real-world NLP tasks including summarization, question answering, and classification.

Table of Contents

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The Rise of Transformer Models in Sequence Learning
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Text Data Preparation for Transformer Models
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Building Blocks of Transformer Architecture
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Encoder-only Transformer Configurations
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Generative Transformers and LLM Architectures
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Customizing LLMs Using Retrieval-Augmented Generation (RAG)
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Efficient Fine-Tuning Techniques with PEFT and LoRA
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Orchestrating LLMs with Tools and Memory
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Introduction to Vision Transformer Models
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Vision Transformers for Image Classification
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Object Detection and Segmentation with Transformer Architectures
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Vision-Language Models and Multimodal LLMs
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Real-World Multimodal GenAI Applications
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Image Generation with Vision Transformers
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The Future of GenAI with Transformers
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Index

Ultimate Multimodal Transformer Models

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