Skip to content

iAmKankan/Generative-AI-tutorials

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

31 Commits
 
 
 
 

Repository files navigation

Generative-AI-tutorials

$\Large{\color{Purple}\textbf{Agenda:}}$

  • Generative AI?
  • Large Language Models LLMs?
  • OpenAI
  • Langchain
  • VectorDatabase
  • Llama Index
  • Open Source LLM model
  • End to End project

Neural Network

What is Generative AI?

$\Large Answer:$ Generative AI generates new data based on the training samples. Generative model can generate Image, textt, Audio, Video .etc. data as output.

Generative AI has mainly two parts

  1. Generative Language Models. example Large Language Models(LLMS)
  2. Generative Image Models.

Generative Al

Example of Large language models

  • ChatGPT
  • Google Bard
  • Meta Llama2

What is Generative Al?

Generative Al generate new data, based on training sample.Generative model can generate Image, Text, Audio, Videos etc. data as output.

So generative Al is a very huge topics,

  • Generative Image model
  • Generative Language model

GAN Structure

A generative adversarial network (GAN) has two parts:

  • The generator learns to generate plausible data. The generated instances become negative training examples for the discriminator.
  • The discriminator learns to distinguish the generator's fake data from real data. The discriminator penalizes the generator for producing implausible results.