Comprehensive Guide to AI, Machine Learning, Deep Learning, LLMs, and Reinforcement Learning

Comprehensive Guide to AI, Machine Learning, Deep Learning, LLMs, and Reinforcement Learning Charles Wan · Follow 3 min read · Just now — Photo by Paul Pastourmatzis on Unsplash Here’s a breakdown of the differences between AI, ML, Deep Learning, and LLMs: 1. Artificial Intelligence (AI): Definition: AI is a broad field focused on creating machines capable of mimicking human intelligence. It encompasses a wide range of techniques and goals, such as reasoning, problem-solving, language understanding, and robotics. Examples: Chatbots, recommendation systems, autonomous vehicles. Techniques Used: Machine learning, expert systems, fuzzy logic, evolutionary algorithms. 2. Machine Learning (ML): Definition: A subset of AI that focuses on creating systems that learn from data to improve their performance without being explicitly programmed for specific tasks. Types of ML: Supervised Learning: Learning […]

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