Hi All,
Today we are going to discuss on What is AI, Genetic AI, and Agentic AI , what exact differences between these post that we can relate these topics with Oracle Cloud in our next blog posts.
High-level Diagram for Defrances:
Firstly, what is AI (Artificial
Intelligence)
Artificial
Intelligence (AI) refers to the field of computer science focused on creating
systems or machines that can perform tasks requiring human-like intelligence,
such as learning, reasoning, problem-solving, perception, and language
understanding.
Key
Features of AI:
Learning
– Through data (machine learning, deep learning).
Reasoning
– Drawing conclusions from input data.
Problem-Solving
– Making decisions in complex scenarios.
Perception
– Recognizing images, speech, or patterns.
Natural
Language Processing (NLP) – Understanding and generating human language.
Examples
of AI:
Chatbots
(like ChatGPT).
Self-driving
cars (AI for decision-making and perception).
Recommendation
systems (Netflix, Amazon).
Fraud
detection systems etc..
Okay now,
our Second topic is What is Genetic AI?
Genetic
AI is an AI approach inspired by the principles of genetics and natural
selection (evolutionary biology). It uses Genetic Algorithms (GA) to find
optimized solutions to problems by mimicking processes like mutation,
crossover, and selection.
How
Genetic AI Works:
Population
Initialization – Create a set of random solutions (like chromosomes).
Fitness
Evaluation – Evaluate how good each solution is using a fitness function.
Selection
– Choose the best solutions to “reproduce”.
Crossover
– Combine parts of two solutions to create new offspring.
Mutation
– Randomly tweak solutions to introduce diversity.
Iteration
– Repeat this process until the best solution emerges.
Key
Features of Genetic AI:
Works on optimization
problems where traditional methods fail.
Does not
require gradient-based learning like neural networks.
It’s
inspired by Darwin's survival of the fittest principle.
Examples
of Genetic AI Use Cases:
Traveling
Salesman Problem (finding the shortest route).
Neural
Network Optimization (selecting architecture or weights).
Robotics
(path planning) & Game strategy evolution.
The final
topic is What is Agentic AI?
Agentic
AI is a recent evolution of AI where an AI system acts as an autonomous “agent”
capable of planning, decision-making, and taking actions in the real or digital
world to achieve specific goals.
Key
Characteristics of Agentic AI:
Autonomy
– Can work independently without continuous human prompts.
Goal-Oriented
Behavior – Plans and executes tasks to meet objectives.
Tool
Usage – Can call APIs, use databases, or interact with external systems.
Memory
& Reflection – Stores past experiences to improve future decisions.
Multi-step
Reasoning – Breaks down complex tasks into subtasks.
Examples
of Agentic AI:
AutoGPT,
BabyAGI, Devin AI – AI agents that autonomously write and debug code.
Customer
Service Bots – Not just answering but performing tasks like booking tickets.
AI
Workflow Agents – Automating entire business processes (emailing, report
generation).
The Key
Differences b/w AI, Genetic AI, and Agentic AI.
AI is the
umbrella term for all intelligent systems.
Genetic
AI is a subfield of AI focusing on optimization through evolutionary
algorithms.
Agentic
AI is a new paradigm of AI where systems are autonomous, goal-driven, and
capable of taking actions without human intervention.
Thank You , that is now .. keep learning
Thanks,
Srini.
