Understand these terms and learn how they are implemented, and their underlying principles. You’ll basically be getting started:


AGI (Human-like AI): AI similar to human thinking.
CoT (Chain-of-Thought): AI thinking step by step.
AI Agents (AI agents): Programs that make automated decisions.
AI Wrapper: Simplifies interaction with AI models.
AI Alignment (AI alignment): Ensuring the AI follows human values.
Fine-tuning: Improving an AI using specific training data.
Hallucination: Information fabricated by AI.
AI Model (AI model): The trained AI used for tasks.
Chatbot (chatbot): AI that simulates human conversation.
Compute: The processing capability of AI models.
Computer Vision: AI’s ability to understand images and videos.
Context: The information an AI retains to respond better.
Deep Learning: AI that learns through multi-layer neural networks.
Embedding: A digitalized representation of words in AI.
Explainability: Understanding the logic behind AI decisions.
Foundation Model (foundation model): A large AI model adaptable to tasks.
Generative AI (Generative AI): Cre…
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