AI and Generative AI (Week 5) Flashcards
What is Ai?
AI is the simulation of human intelligence by machines
Ai is the ability to act rationally (logically)
Ai is the ability to solve problems
Definitions of AI
Systems that think/ act like human
Systems that think/ act rationally
What is machine learning ?
Machine learning is a branch of the broader AI field that uses statistics models to develop predictions
ML has the ability to learn without being explicitly told to do so
ML uses algorithms that take empirical or historic data in, analyses and generates outputs based on analysis
What is deep learning?
Deep learning is a subset of machine learning that uses artificial neural networks to procès and analyse information
What are the three different forms of deep learning?
supervised learning: correct answers given for each example, software is trained on a set of data inputs and outputs with a goal of learning a general rule that maps given inputs to given outputs.
Unsupervised learning: correct answers are not given, learning algorithm not given guidance, works to solve problem on its own
Reinforcement: occasional rewards, will confront problem in dynamic environment, as it worked towards goal , it will receive feedback which will reinforce learning
What are neural networks?
The backbone of deep learning, neural networks reflect behaviour of human brain , allowing computers to recognise patterns
What are the factors driving AI adoption?
- Advancements that make AI accessible
- Need to reduce costs and automate key processes
- Competitive pressure
What are the Barriers of AI adoption?
- Limited skills and knowledge
- Lack of tools for developing AI models
- Price too high
- Ethical concerns
What are three use cases of AI?
Healthcare:
-image recognition
-solving patients problems
Heavy industry:
- robot automation
- repetitive tasks
- learning without training
Education:
- companies are creating robots to teach subjects
What is GenAI?
A subset of AI that uses generative models to produce text, images, videos. It reuses what it already knows to solve problems
Ways to exploit GenAI capabilities?
Create digital artefacts
Coding
Research and writing