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Natural intelligence == Artificial Intelligence

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Natural intelligence == Artificial Intelligence


Whatever the data AI understood as numbers, For an example lets take an example 

Lets compare two hotels reviews Hotel A has good 5 star reviews Hotel B has bad reviews. here based on percentage will decide the best Hotel. Similarly AI also decide. 

Another example: Lets decide best doctor. Doctor A received 9 rating out of 10 from 100 patients. Doctor B received 3-2 rating from 100 Patients. Here we are converting data into some numbers. Based on this point we are deciding the best doctor as Natural way. Similarly AI also worked.


To clarify how AI algorithms or Models are work 

Example I have Math problem like

X        Y
1        1
2        4
3        9
4        ?

Y= x * x?

Step1: We are loading past data in our brain, Here past data means (1,1)(2,2)(3,3) as our brain bring data or understood the pattern.

Step2: We are tying to understand the patterns. 

Step3: When we pass unseen data to our brain, then this pattern will stored. like Y = 4*4 = 16

Here how human brain involves in similar way this AI works  


Generative AI:

  1. It can generate text
  2. It can generate music
  3. It can generate Images
As of now AI race 


Each LLM designed to specific to Text 
here text means all world language model

Generative AI trained on public data that whatever information on public websites. If you want generative AI on specific company or organization you need to train on RAG (Retrieval augment generation) for an Example I want every detail on Apollo Hospital, here you need to train your generative AI with apollo hospital. Note it will generate data based on data you given.




For suppose I want take an appointment with doctor. In this case AI agent will take action. 

Skills you need for successful AI journey: 

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  1. Custom development means you are owner of chatGPT for an example you trained will large data
  2. Transfer learning means you are using ChatGPT services
  3. Fine tune means you training ChatGPT with your latest data or again the model with our data. an example your model trained data from A-H and later you training your model from I-Z. In other case level 1 -100 and then 100-150
Now will learn:

  1. How a machine learning will works?
  2. How a neural network will works (deep learning)?
  3. How a model is understanding the text?


 

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