🧠 AI Concepts Every Beginner Should Know 🤖

🔹 Artificial Intelligence (AI) ➜ Machines performing tasks that normally require human intelligence

🔹 Machine Learning (ML) ➜ Systems that learn patterns from data

🔹 Deep Learning ➜ Uses neural networks with multiple layers to learn complex patterns

🔹 Generative AI ➜ Creates new text, images, audio, video, or code

🔹 Large Language Models (LLMs) ➜ AI models designed to understand and generate human language

🔹 Natural Language Processing (NLP) ➜ Enables computers to process and understand human language

🔹 Computer Vision ➜ Enables machines to understand images and videos

🔹 Neural Networks ➜ Computational models inspired by the way biological neurons process information

🔹 Prompt Engineering ➜ Designing effective instructions for AI models

🔹 RAG ➜ Combines AI models with external knowledge sources to improve responses

🔹 Fine-Tuning ➜ Adapts a pretrained AI model for a specific task or domain

🔹 Embeddings ➜ Represent text or other data as numerical vectors for similarity-based tasks

🔹 Vector Databases ➜ Store and search embeddings efficiently

🔹 AI Agents ➜ AI systems that can reason, use tools, and perform multi-step tasks

🔹 MLOps ➜ Practices for deploying, monitoring, and maintaining machine-learning systems

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