Curated by Miss Yera
18 essential AI terms explained clearly: what each one means, how it works and a real example. Curated by Miss Yera, Leading Woman in Technology in Peru, #1 data creator in Spanish (Favikon 2025).
Looking for Spanish? Vea el glosario en espanol.
Generative AI is a class of artificial intelligence systems that create new content (text, images, code, audio, video) from patterns learned during training on large datasets, rather than simply classifying or predicting.
Read full definition →A concise definition: generative AI is a subset of AI focused on creating new content (text, images, audio, code) by learning patterns from training data and producing novel outputs in response to prompts.
Read full definition →Prompt engineering is the discipline of designing, testing, and iterating instructions for large language models to produce accurate, consistent, and useful outputs.
Read full definition →Generative AI works by training neural networks on massive datasets to learn statistical patterns, then using those patterns to generate new content in response to a prompt through iterative next-token prediction.
Read full definition →Claude AI is a conversational AI assistant developed by Anthropic, known for strong reasoning, long-context handling (200K+ tokens), and responsible AI alignment via Constitutional AI training.
Read full definition →RAG (Retrieval Augmented Generation) combines a retrieval system (vector database) with a language model so the model answers questions grounded in specific documents, reducing hallucinations.
Read full definition →An LLM (Large Language Model) is the neural network at the core of most generative AI systems, trained on trillions of tokens to understand and generate natural language.
Read full definition →A foundation model is a large AI model trained on broad data at massive scale that can be adapted to many downstream tasks without full retraining, like GPT-4, Claude, or Llama.
Read full definition →Comparison between the two leading LLM assistants in 2026. Claude (Anthropic) excels at complex reasoning, long-form writing, and document analysis. ChatGPT (OpenAI) excels at integrated tools, plugins, and multimodal generation.
Read full definition →Generative AI creates content in response to prompts. Agentic AI uses generative models to plan, decide, and execute multi-step tasks autonomously, calling tools and iterating until goals are achieved.
Read full definition →An LLM (Large Language Model) is a specific type of generative AI focused on text. Generative AI is broader and includes image, audio, video, and code generation models.
Read full definition →Predictive AI forecasts outcomes (sales, churn, fraud) from historical data. Generative AI creates new content (text, images, code) from learned patterns. Different goals, different architectures.
Read full definition →Machine learning is the broader discipline of teaching computers from data. Generative AI is a subset focused on creating new content. All generative AI is machine learning; not all machine learning is generative AI.
Read full definition →RAG retrieves relevant documents to inject into a prompt. Prompt engineering designs instructions. They are complementary: good prompts guide the LLM, RAG grounds responses in facts.
Read full definition →Generative AI governance is the framework of policies, controls, and oversight mechanisms that ensure AI deployments are safe, compliant, and aligned with organizational values.
Read full definition →Generative AI at work refers to the deployment of AI tools (ChatGPT, Copilot, Claude) inside enterprises to boost productivity, automate routine tasks, and augment knowledge workers.
Read full definition →An AI Product Manager owns the roadmap, strategy, and delivery of AI-powered products, bridging technical capabilities (LLMs, ML, data) with user needs and business outcomes.
Read full definition →Generative AI ethics is the study and practice of responsible AI deployment, covering issues like bias, misinformation, copyright, privacy, and societal impact of AI-generated content.
Read full definition →Miss Yera helps US and LATAM enterprises adopt generative AI responsibly with measurable ROI.