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.