ADIL 🦂 丰 ₿ ⚡ on Nostr: AI Cheat Sheet : • Vibe Coding – programming using natural language. • CoT ...
AI Cheat Sheet :
• Vibe Coding – programming using natural language.
• CoT (Chain of Thought) – when AI thinks in stages.
• Jailbreak – a way to force AI to break restrictions.
• AI agents are programs that work autonomously.
• AI Alignment – adjusting AI so that it does not harm people.
• AGI – AI that thinks like a human.
• Fine-tuning – further training of AI on specific tasks.
• Hallucinations – when AI makes up facts.
• AI model – a trained system for tasks.
• Chatbot – AI for communicating with people.
• Computer vision – when AI understands images and videos.
• Context is the information that AI remembers to provide accurate answers.
• Embeddings are a numerical representation of words for AI.
• Explainability – explanation of how AI makes decisions.
• Fundamental model – universal AI for different tasks.
• Generative AI (GenAI) – AI that creates texts, images, etc.
• GPU – a video card for accelerating AI work.
• Ground Truth – trusted data for training AI.
• Inference – AI uses its knowledge to analyze new data and produce a result.
• LLM (Large Language Model) – AI trained on huge volumes of text.
• Machine learning – when AI improves based on data.
• MCP (Model Context Protocol) is a standard for AI access to external data.
• NLP (Natural Language Processing) – natural language processing.
• Prompt Engineering is the art of correctly formulating requests to AI.
• Reasoning Model – AI that reasons logically.
• RAG (Retrieval-Augmented Generation) – AI that searches for information before responding.
• TPU – Google’s special processor for working with AI.
• Tokenization – breaking down text into small parts (words, symbols).
• Transformers – AI architecture for text processing.
• Weights – values that determine how the AI learns.
• Diffusion models – models that create images from noise (used in Midjourney, Stable Diffusion).
• Multimodal AI – AI that works with text, images, video and sound simultaneously.
• Generation – the process of creating text, images and other AI content.
• API – a way to interact with AI through code.
• Vibe Coding – programming using natural language.
• CoT (Chain of Thought) – when AI thinks in stages.
• Jailbreak – a way to force AI to break restrictions.
• AI agents are programs that work autonomously.
• AI Alignment – adjusting AI so that it does not harm people.
• AGI – AI that thinks like a human.
• Fine-tuning – further training of AI on specific tasks.
• Hallucinations – when AI makes up facts.
• AI model – a trained system for tasks.
• Chatbot – AI for communicating with people.
• Computer vision – when AI understands images and videos.
• Context is the information that AI remembers to provide accurate answers.
• Embeddings are a numerical representation of words for AI.
• Explainability – explanation of how AI makes decisions.
• Fundamental model – universal AI for different tasks.
• Generative AI (GenAI) – AI that creates texts, images, etc.
• GPU – a video card for accelerating AI work.
• Ground Truth – trusted data for training AI.
• Inference – AI uses its knowledge to analyze new data and produce a result.
• LLM (Large Language Model) – AI trained on huge volumes of text.
• Machine learning – when AI improves based on data.
• MCP (Model Context Protocol) is a standard for AI access to external data.
• NLP (Natural Language Processing) – natural language processing.
• Prompt Engineering is the art of correctly formulating requests to AI.
• Reasoning Model – AI that reasons logically.
• RAG (Retrieval-Augmented Generation) – AI that searches for information before responding.
• TPU – Google’s special processor for working with AI.
• Tokenization – breaking down text into small parts (words, symbols).
• Transformers – AI architecture for text processing.
• Weights – values that determine how the AI learns.
• Diffusion models – models that create images from noise (used in Midjourney, Stable Diffusion).
• Multimodal AI – AI that works with text, images, video and sound simultaneously.
• Generation – the process of creating text, images and other AI content.
• API – a way to interact with AI through code.