AI vs ML vs DL vs GenAI vs LLM vs AI Agent - What’s the Difference

 AI vs ML vs DL vs GenAI vs LLM vs AI Agent - What’s the Difference

In the evolving AI landscape, it’s essential to distinguish between foundational technologies and their specialised branches. This guide provides a clear breakdown:


๐Ÿ. ๐€๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐ข๐š๐ฅ ๐ˆ๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐œ๐ž (๐€๐ˆ):

A broad field focused on designing systems that replicate human intelligence — including reasoning, learning, and decision-making.


๐Ÿ. ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  (๐Œ๐‹):

A subset of AI where systems learn from data patterns and improve over time, enabling predictions and automation without explicit programming.


๐Ÿ‘. ๐ƒ๐ž๐ž๐ฉ ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  (๐ƒ๐‹):

A specialized area within ML that leverages layered neural networks to process complex data, such as images or natural language.


๐Ÿ’. ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐ฏ๐ž ๐€๐ˆ (๐†๐ž๐ง๐€๐ˆ):

An AI approach that creates original outputs - text, code, visuals - by learning from existing data structures and patterns.


๐Ÿ“. ๐‹๐š๐ซ๐ ๐ž ๐‹๐š๐ง๐ ๐ฎ๐š๐ ๐ž ๐Œ๐จ๐๐ž๐ฅ๐ฌ (๐‹๐‹๐Œ๐ฌ):

Deep learning models trained on large text corporate, enabling machines to understand and generate human-like language at scale.


๐Ÿ”. ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ๐ฌ:

Autonomous systems powered by LLMs or other models, capable of perceiving, planning, and executing tasks based on defined goals.


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