Introduction to Generative AI

This is based on google generative AI training courses

What is Generative AI

Type of AI technology that can produce various type of content - text, imgae, audio..

AI? field of computer science deals with intelligence agents -> AI is the theory and development of computer systems able to perform tasks normally requring huen intelligence

ML? Subfield of AI, program that trains a model from input data -> Gives computers the ability to learn without explicit programming.

• unsupervised ML model - without label
• supervised ML model - with label

DL? Subset of ML method. uses artificial neural networks -> allow them to process more complex patterns than traiditional ml

• semi supervised model - with few labeled data & alot of unlabeled data

DL model types

• Driscriminative : classify, predict.
  trained on labeled data
  relationship between features

• Generative : generates new data which is similar to data it was trianed on

Gen AI? subset of DL. handel (un)labeled data with (un/semi)supervised model
usual output : natural language, image, audio...

LLM? subset of DL.

===> What is Gen AI?

• type of AI, that creates new content based on what it learned from.
• train (process of learning from existing content) and create statistical model as result.

How generative AI works

pre- training

• large amount of data and parameters
• unsupervised learning

ex)

Generative AI model types

• text to text
  NL as input, text as output
  ex) generation, summarization, trainslation.

• text to image
  trained on image

• text to video / 3D
  video generation, editing

• text to task
  trained to perform a specific task or action based on input text
  ex) virtual assistant, automation ...
  

foundation model

large pre trained AI model trained on large quantity of data designed to be adapted or fine tuned to a wide range of downstream tasks.

Generative applications