AI

Question 1

What is artificial intelligence?

Answer 1

Broad Definition: Intelligence exhibited by machines, particularly computer systems (Wikipedia).
Specific Definition: “Computer systems that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making” (Source: ChatGPT, in Goldstuck, 2023).

Question 2

Examples of Artificial applications

Answer 2

Web search engines (e.g., Google).
Recommendation systems (e.g., Netflix, Amazon).
Interacting via speech (e.g., Alexa, Siri).
Autonomous vehicles.
Generative and creative tools (e.g., ChatGPT, AI Art).

Question 3

Functions of artificial intelligence?

Answer 3

Reasoning and Problem-Solving: Uses decision rules (e.g., expert systems).
Knowledge Representation: Indexing and retrieval of text content using ontologies.
Planning and Decision-Making: Utilizes agents (e.g., in game theory).
Learning: Machine learning (supervised and unsupervised).
Natural Language Processing: Includes machine translation.
Perception: Recognizing images and patterns.
Social Intelligence: Sentiment analysis.
General Intelligence: Artificial general intelligence (AGI).

Question 4

Machine learning?

Answer 4

A type of artificial intelligence that performs data analysis tasks without explicit instructions. Machine learning systems process historical data, identify patterns, and predict relationships. For example:

Classification and prediction tasks (e.g., identifying fraudulent transactions).
(Source: AWS).

Question 5

Neural networks

Answer 5

Inspired by the structure of the human brain, neural networks consist of interconnected nodes or “neurons” that analyze data and identify patterns. They are fundamental to generative AI.
(Source: Appian).

Question 6

Deep learning?

Answer 6

A subset of machine learning, deep learning uses artificial neural networks with many layers (nodes) to solve complex problems, mimicking the structure of the human brain.
(Source: AWS).

Question 7

LLMs

Answer 7

Large Language Models are deep learning models trained on vast amounts of text data. They use transformer architectures (encoders and decoders) for understanding text sequences and learning relationships between words and phrases.
(Source: AWS).

Question 8

Generative AI

Answer 8

Generative AI creates new content (e.g., text, visuals, or audio) based on models trained on existing data. It differs from traditional AI by generating rather than just analyzing data.
(Source: Appian).

Question 9

Chatgpt?

Answer 9

A generative AI chatbot developed by OpenAI. Initially launched in 2022 using GPT-3.5 and later upgraded to GPT-4, ChatGPT generates human-like conversational responses and can adapt to different styles, formats, and languages.
(Source: Wikipedia).

Question 10

Benefits of chatgpt

Answer 10

Can generate ideas and content very quickly and assist with brainstorming,
including generating a list of essay topics, making book recommendations, and
more.
* Excellent at editing and can assist with grammar, spelling, and sentence
structure.
* Currently supports more than 50 languages and can help non-native English speakers edit their phrasing and sentence structure to fit best practices.
* Can mimic the writing style of published authors. It can even mimic your own
writing style, if you feed it a corpus of text you’ve already written as part of the
prompt. Similarly, you can ask ChatGPT to “write like an 8th grader” or generate responses in a certain voice or style.
* Can generate melodies and chord progressions for writing music.
* Can write fiction stories or narratives.
* Can produce and de-bug code.

Question 11

Limitations of chatgpt?

Answer 11

Its knowledge base is limited by the textual data it’s been trained on. It is unable
to verify facts, access real-time information, perform live research, or report on current events.
* AI-written text is sometimes generic or verbose.
* ChatGPT doesn’t possess implicit knowledge or common-sense reasoning, meaning that it may sometimes produce responses that sound coherent but are
in fact incorrect or nonsensical.
* It is bad at basic math and simple logic questions.
* ChatGPT can and will “hallucinate references,” meaning it will invent citations for articles, books, and even people that don’t actually exist.
* ChatGPT lacks emotional intelligence, and cannot detect subtle emotional cues or respond appropriately to complex emotional situations. It can sometimes
struggle to understand sarcasm or humor.
* Since ChatGPT was trained on the past writings of humans, it is susceptible to the same biases and prejudices that exis