Artificial Intelligence
Artificial Intelligence (AI) has recently become the source of widespread debate in tech circles, and even among non-tech-savvy people. Venture capital has been streaming into AI-related ideas, leading many to wonder what the field really is about. Here is a deep dive into the field.
What is Artificial Intelligence
The meaning of artificial Intelligence is the application of computer systems to perform tasks that normally require human intelligence.
What are the 4 types of AI?
There are different types of artificial intelligence, such as:
Narrow AI (Weak AI): Designed or trained on a specific or narrow range of tasks. Examples include: Voice assistants like Siri and Alexa, Facial recognition technology and recommendations algorithms like Netflix or X.
General AI (Strong AI): Machines that can perform different kinds of intellectual tasks, such as driving or diagnosing complex medical issues. Examples include: Tesla FSD and robots.
Artificial General Intelligence (AGI): Super AI is a theoretical concept where AI surpasses human intelligence. They are able to make decisions of their own and solve problem of its own.
Other major types of AI includes: Natural Language Processing (NLP) like chatbots, sentiment analysis and language translators, Computer vision, Agentic AI like coding agents, e.g. Anthropic's Claude code and OpenAI's Codex, and much, much more.
The world of AI is constantly expanding, and AI researchers and various participants are yet to fully grasp its full potential. As such, new types and kinds of AI are constantly being discovered.
Advantages of Artificial Intelligence
It makes your business processes faster and more efficient.
It minimises mistakes
Eliminates redundant tasks so you can focus on your core business functions like generating leads and selling.
Machine learning
Most Artificial Intelligence tools use machine learning to train their models. Therefore, Artificial Intelligence is the overarching concept, whereas machine learning is a methodology used in artificial intelligence.
What is Machine Learning?
Machine learning means,
What are the 4 types of machine learning?
The major branches of machine learning include:
Supervised learning
Unsupervised learning
Reinforcement learning
Some sources add semi-unsupervised learning as a major branch/ type of machine learning.
Most of the LLMs (e.g. Chat GPT, Gemini, and DeepSeek) and coding agents were trained using reincorcement learning.
Computer vision systems, like the technology that enables a self driving car to discern between a cyclist and a dustbin, mostly use supervised learning. Meaning there are labelled datasets, and mostly human input is needed to help train the model.
Difference between artificial intelligence, machine learning and deep learning
Artificial Intelligence is the broad concept of machines simulating human intelligence. Machine Learning (ML) is a subset of AI that enables systems to learn from data using algorithms. Deep Learning is a further subset of ML, using multi-layered neural networks to analyse complex, unstructured data.
What we do
Build Artificial Intelligence(AI) wrapper apps.
Implement and create agentic coding workflows.
Train AI agents for various tasks and sectors such as legal, health, research, academic, e.t.c.
Debug vibe-coded apps
Artificial Intelligence is a rapidly-emerging concept, among many business today. Think of it like when the personal computer or the internet was invented. Businesses and professionals who fail to incorporate it in their day to day work will be left behind.
