AI and Language Model Fundamentals
By Harsh Sharma · Community
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Category: PDF Notes & Study Material › artificial_intelligence_ml
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AI and Language Model Basics is a simple beginner’s guide to understanding the basics of artificial intelligence and modern language models. This book covers the basics of AI, machine learning, deep learning, generative AI, natural language processing (NLP), and large language models (LLMs). It also discusses key concepts like neural networks, tokens, prompts, embeddings, Transformers, GPT-style models, fine-tuning, and prompt engineering. What You'll Learn - Basics of Artificial Intelligence and Machine Learning - The way neural networks and deep learning function - Introduction to AI and NLP - How Large Language Models read and generate text - Tokens, Context, Embeddings, Prompt - Basic concept of Transformer architecture - How GPT-style language models operate - Fundamentals of fine-tuning and prompt engineering Applications, limitations, and responsible use of AI in practice It is intended for students, beginners, creators, developers, or anyone who wants to build a strong foundation in AI and learn the technology behind the existing AI tools. The concepts are presented in a simple structured format to help the readers progress from basic AI concepts to a clearer understanding of modern language models and generative AI.