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Introduction to Gen AI

  • Generative AI (GenAI) refers to AI systems that can create text, images, or media based on prompts using advanced machine learning.
  • GenAI impacts customer support, content creation, education, and software development by automating responses, generating content, aiding in education, and assisting in coding.
  • GenAI is built on neural networks, deep learning, natural language processing (NLP), and transformer architecture for understanding and generating human language.
  • Key terms in GenAI include specific models for particular tasks and foundation models for versatile tasks trained on vast datasets.
  • GenAI's power comes from extensive training on diverse datasets and transformer architecture, enabling efficient handling of complex data.
  • GenAI components include foundational models like LLM and LAMA, frameworks like OpenAI, and fine-tuning tools like LoRA and RAGs.
  • AI with autonomous decision-making capabilities and vector databases optimized for AI operations are also essential components of GenAI.

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