دانلود کتاب مدل‌های نهایی ترانسفورماتور چندوجهی -کارشناسی ارشد LLM، ترانسفورماتورهای بینایی، RAG، عامل‌های هوش مصنوعی، تنظیم دقیق و هوش مصنوعی چندوجهی

My journey as an author began with a deep-rooted passion for teaching Machine Learning (ML) and Neural Networks, one that has spanned over two decades. Over the years, I have had the privilege of guiding countless students through the foundational concepts of AI. Many of them often told me that my handwritten notes made complex ideas accessible and engaging. It was their persistent encouragement that finally led me to write my first book, Kickstart AI Fundamentals . When it was published in April 2025, I was deeply moved by the response. The book found a special place among students, especially my own, many of whom are now professionals working as data scientists, AI researchers, analysts, and engineers across the world. It was during that process digging into how Transformers were replacing RNNs and LSTMs, understanding their scalable architecture, and observing their rapid adoption that I realized this was not just an “advanced application.” It was the beginning of a new era in AI. That realization marked a turning point in my writing journey. Soon after, the post-pandemic world witnessed an explosion in Generative AI. The release of ChatGPT in 2022, followed by Google’s Gemini, moved AI from academic labs into daily life. Suddenly, powerful AI tools were in the hands of schoolchildren, working professionals, and even retirees. This mainstream adoption created a new wave of curiosity not just among casual users, but also among developers, data scientists, and AI enthusiasts who had already mastered classical techniques, and were eager to understand the underlying models driving this revolution. It was at that crossroads the excitement of my own deep dive into Transformers, the feedback from my readers, and the widespread hunger to understand GenAI that the blueprint for this book began to take shape. I envisioned a comprehensive, hands-on guide that would go beyond just language or vision transformers, and instead unify both under the broader, forward-looking umbrella of multimodal AI.