AI for business Flashcards

1
Q

What is Artificial intelligence?

A

A computer programe with the ability to do ‘cognitive’ tasks typically associates with humans.

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2
Q

What uses math to learn with data?

A

AI

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3
Q

What is machine learning?

A

A specific technique used by AI designers to achieve artificially intelligent computer programs.

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4
Q

Training set:

A

A collection of data used to train AI

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5
Q

What is natural language?

A

The way people talk or write when communicating with each other.

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5
Q

What is a conversational AI tool?

A

An AI tool that processes text requests and generates text responses.

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5
Q

What are the two kinds of techniques AI uses to make decisions.

A

1) rule based techniques
2) machine learning techniques

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6
Q

What is the difference between rule based techniques and machine learning techniques?

A

Rule based techniques are rigid, the AI follows predefined rules. In contrast, machine learning learns patterns from data sets and is more flexible.

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6
Q

What are the three approaches to training LMs?

A

Supervised, Unsupervised, Reinforcement.

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7
Q

What is supervised learning?

A

The computer program is trained on pre-labelled or categorized data.

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8
Q

What is unsupervised learning?

A

The computer program is trained on non-labelled data with no specific output in mind. It is supposed to pick up on patterns in data.

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9
Q

What is reinforcement learning?

A

The ML program is trained by being ‘rewarded’ for desired outputs.

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10
Q

What is AI literacy?

A

A conscious sense of the power and peril of artificial intelligence, not about knowing how it all works.

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11
Q

AI augmentation

A

Using AI to improve a work product (easier or higher in quality).

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12
Q

AI integrated feature?

A

Software with an AI tool integrated into it.

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13
Q

What is a custom AI solution?

A

A tool tailored to a specific problem.

14
Q

What is an AI model

A

A computer program trained on a set of data to recognize patterns and perform specific tasks.

15
Q

What two sets is the data collected of LM training typically split into:

A

1) training ste, 2) validation set

17
Q

How do LLMs work?

A

They predict the next word in a sequence by computing the probabilities of the next potential word (because they are so good at picking up on patterns in text).

18
Q

What is LLM?

A

A model that is trained on very large amounts of text (millions of sources) to learn patterns between words, concepts and phrases so it can generate responses to prompts.

19
Q

How do LLMs use statistics?

A

To analyze the relationships between all of the words in a given sequence and compute the probability of thousands of words that can come next.

20
Q

What does the term ‘shot’ mean in prompt engineering?

A

An example you feed to the LLM

21
Q

What is Deep learnign?

A

A type of machine learning that uses artificial neural networks allowing it to process more complex patterns.

22
Q

Semi-supervised learning?

A

A neural network is trained on a small amount of labelled data and a large amount of unlabeled data

23
Q

Gen AI?

A

A subset of machine learning, it uses artificial neural networks can process labelled and unlabeled date from supervised, non-supervised and partially supervised learning.

24
Q

What are the two types of: deep learning models (and machine learning models in general)?

A

1) generative
2discriminative (a model that is used to classify and predict labels for data points).