Ultimate Multimodal Transformer Models | 14.37 MB
Title: Ultimate Multimodal Transformer Models: Master LLMs, Vision Transformers, RAG, AI Agents, Fine-Tuning, and Multimodal AI Systems with PyTorch and Hugging Face
Author: Dr. S. Mahesh Anand
Category: Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence
Language: English | 350 Pages | ISBN: 9798315177890
Description:
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
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
- The Rise of Transformer Models in Sequence Learning
- Text Data Preparation for Transformer Models
- Building Blocks of Transformer Architecture
- Encoder-only Transformer Configurations
- Generative Transformers and LLM Architectures
- Customizing LLMs Using Retrieval-Augmented Generation (RAG)
- Efficient Fine-Tuning Techniques with PEFT and LoRA
- Orchestrating LLMs with Tools and Memory
- Introduction to Vision Transformer Models
- Vision Transformers for Image Classification
- Object Detection and Segmentation with Transformer Architectures
- Vision-Language Models and Multimodal LLMs
- Real-World Multimodal GenAI Applications
- Image Generation with Vision Transformers
- The Future of GenAI with Transformers
Index
DOWNLOAD:
rapidgator.net/file/d89a5810af93f90dbb32b9169435920e/Ultimate_Multimodal_Transformer_Models.rar
nitroflare.com/view/2A2DC316AA20662/Ultimate_Multimodal_Transformer_Models.rar
