Introducing AI
Definition of innate intelligence:
Intelligence that governs every activity in our body
(the same that transform a seed in a tree, or a single-cell in final organism).
AI doesn’t have any kind of innate intelligence, it have only what we give to them: we provide examine examples and create a machinelearning model to transform inputs in outputs. We do this in different ways:
We can identify AI based on some features:
- Strength
- Weak AI (or Narrow AI), applied to a specific domain, can perform specific tasks but not learn new ones, i.e.:
- language translators;
- virtual assistants, or
- AI-powered web searches
- Strong AI (or Generalized AI), capable of engaging in and performing a diverse array of distinct unrelated tasks, with the capabilities to acquire new skills and learn in an autonomous way, used in:
- Finance,
- HR,
- IT,
- R&D,
- Supply chain
- Super AI (or Conscious AI), a human-level conscousness artificial intelligence, with advance cognitive abilities and developing its own thinking skills, and that could demostrate capabilities beyond human intelligence in areas like:
- Healthcare
- Autonomous vehicles
- Robotics
- Natural language understanding
- Environmental conservation
- Weak AI (or Narrow AI), applied to a specific domain, can perform specific tasks but not learn new ones, i.e.:
- Breadth
- Application
We can also define AI based on multisciplinary filed that make it:
- Software and hardware AI: computer science + electrical engineering
- Viable models and measure performances: maths + statistics Other fields related to AI are: psychology, linguistics, philosophy.
Artificial Intelligence vs Augmented Intelligence
- Artificial Intelligence: abilities of machines to perform tasks that normally require human intelligence (like reasoning, natural communication, problem solving), replacing the need of a human;
- Augmented Intelligence: where machines works togheter with humans, enanching each other’s efforts when completing task, and augmenting human abilities (like: screen readers for bling, car assistants, etc.).
Strengths matrix machine vs humans:
| Machine | Humans |
|---|---|
| Intesting large amounts if data | Good at generalising information |
| Repetitive tasks | Creativity |
| Accuracy | Emotional intelligence |
Introducing Generative AI and its Uses Cases
| Traditional AI | Generative AI |
|---|---|
| focus on analyzing data, making decision and recommendations | Creates new contents from scratch |
So we define Generative AI as an artificial intelligence technology capable of creating new and novel data (text, images, music, videos), not using predefined rules and patterns but deeplearning techniques and vast data sets
LLM (Large Language Models), a type of generative AI, can perform a variety of natural language processing tasks (like: text generation, translation, summarization, etc.).