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. ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐):
A broad field focused on designing systems that replicate human intelligence — including reasoning, learning, and decision-making.
๐. ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ (๐๐):
A subset of AI where systems learn from data patterns and improve over time, enabling predictions and automation without explicit programming.
๐. ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ (๐๐):
A specialized area within ML that leverages layered neural networks to process complex data, such as images or natural language.
๐. ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐ (๐๐๐ง๐๐):
An AI approach that creates original outputs - text, code, visuals - by learning from existing data structures and patterns.
๐. ๐๐๐ซ๐ ๐ ๐๐๐ง๐ ๐ฎ๐๐ ๐ ๐๐จ๐๐๐ฅ๐ฌ (๐๐๐๐ฌ):
Deep learning models trained on large text corporate, enabling machines to understand and generate human-like language at scale.
๐. ๐๐ ๐๐ ๐๐ง๐ญ๐ฌ:
Autonomous systems powered by LLMs or other models, capable of perceiving, planning, and executing tasks based on defined goals.
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