Power of Large Language Models and AI in the Digital Age

Part I: Understanding large language models

Chapter 1: Introduction to deep learning and neural networks
Chapter 2: Foundation, architecture, and applications of large language models
Chapter 3: Challenges and issues in implementing large language models



Part II: Practical applications and real-world case studies

Chapter 4: Practical applications of LLM models
Chapter 5: Real-world case studies showcasing successful implementations



Part III: Technical insights

Chapter 6: An in-depth exploration of large language model architecture
Chapter 7: From foundation to specialization: a comprehensive analysis of pretraining and fine-tuning in large language models



Part IV: Ethical and societal implications

Chapter 8: Bias, fairness, and responsible AI in language models
Chapter 9: Privacy concerns and data security



Part V: Future horizons

Chapter 10: The role of language models in the future of AI: future perspectives and research directions
Chapter 11: The dawn of agentic AI

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Hardware do computador
• Ciência da Computação
• As redes neurais e sistemas nebulosos
• Tecnologia da informação: aspectos gerais
• Fabricação auxiliada por computador
• Aspectos éticos e sociais da Tecnologia Informática
• Aprendizagem mecânica
• Linguagem natural e tradução mecânica
• Privacidade e protecção de dados
• Tradução e interpretação

LLMs; AI; deep learning; neural networks; Pre-training; fine-tuning; bias; fairness; responsible AI; privacy; data security; Agentic AI; autonomous systems; automation; intelligent systems; human language; content creation; summarization; transformers; natural language processing; NLP; text generation; ChatGPT; AI ethics; AI security; AI case studies; LLM ethics; LLM security; LLM case studies; ML ethics; ML security; ML case studies