The Complete AI Expert Roadmap: From Neural Networks to LLMs, RAG, Agentic AI, AGI & ASI
English | September 27, 2026 | ASIN: B0HL75H1VX | 649 pages | Epub | 7.26 MB
Understand modern AI from the first neuron to production agentic systems, in one connected roadmap.Most people learn AI as scattered buzzwords: tokens, embeddings, transformers, RAG, LoRA, agents. This book connects them into a single path, where every concept builds on the one before it, so you understand not only what each technique is, but why it works, what it costs, and how to measure whether it helps.What you will learnAI foundations: machine learning, neural networks, backpropagation, and optimization, built from scratch.NLP and transformers: tokenization, embeddings, attention, Q/K/V, attention complexity, and a complete transformer block.Large language models: pretraining, scaling laws, generation, the KV cache, instruction tuning, RLHF and DPO, LoRA and QLoRA, quantization, and mixture of experts.Retrieval-augmented generation: embedding models, vector databases, chunking, hybrid search, reranking, and advanced RAG.Agentic AI: tool calling, ReAct, planning, memory, personalization, multi-agent systems, and self-learning agents.Production AI: evaluation, guardrails, prompt injection, LLM serving, vLLM, GPUs, Docker and Kubernetes, LLMOps, and observability.The road ahead: AGI, ASI, and the science of AI safety. Learn by buildingMore than 130 diagrams make the ideas visual. Runnable Python examples produce the exact outputs printed in the book, including a GPT trained from scratch, a Word2Vec model, a BPE tokenizer, a RAG system measured on a labeled benchmark, and a working agent framework. Every major claim is tied to an experiment you can run or a published source in the references.Who this book is forSoftware engineers building AI features and agents, data scientists moving into LLMs, students, researchers, and technical leaders who need a precise map of the field. You should be comfortable reading Python; the mathematics is introduced as you need it.Includes a glossary of nearly 200 terms, a 16-week study plan, capstone projects, and an index.
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