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Class 3 - How ChatGPT and Perplexity Work
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Watch the Full Video: ChatGPT and Perplexity Work

LLM = Large Language Model (Large Numbers Model)​

LLM = Large Language Model (Large Numbers Model)

Pre-Training: It predicts which words are most likely to come next based on the user’s query.


Supervised Fine Tuning(SFT): It retrieves the relevant information based on the user’s query and generates an answer for the user.


Reinforced Learning From Human Feedback(RLHF): The model follows safety rules. It is designed to avoid answering harmful questions or generating unsafe content, such as instructions for making a bomb or creating illegal or dangerous images, etc.

Vector: It converts the properties and dimensions of an entity into mathematical representations and assigns them a score.


Retrieval-Augmented Generation(RAG): It works on embeddings, vector databases, and live search.