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Intro to Large Language Models (LLMs)
Rating: 4.0 out of 5(77 ratings)
1,267 students
Created byPriya Shastri
Last updated 9/2024
English

What you'll learn

  • Basics of AI
  • What are Large Language models (LLMs)?
  • Why are LLMs important?
  • What are the limitations of LLMs?

Course content

3 sections6 lectures48m total length
  • Introduction to Lecturer0:45

Requirements

  • No programming experience, no prior knowledge

Description

This course will help you understand the basics of Large Language Models (LLMs) and Transformers. Why are LLMs now so popular? What are its characteristics? Why do companies have their own LLMs?

Why is Data so important? What is the value of specialized data and how are they used in the models?


Once you answer these questions the idea of the large language models will become clear. Large Language models are trained models that can provide an accurate answer to specific questions in the domain. The domain can be engineering, science, politics, geography, computer science, sports, stock market or any other field where there is enough data to train a model.

When data is viewed as a commodity then the value of the data increases. You can start predicting response to questions that do not have answers. Can you predict who can win the SuperBowl, or the NBA based on data obtained from previous years?

Are you becoming clairvoyant? There is science behind all this mechanism.

Hope you enjoy this course and learn to predict the future or train your models to provide accurate responses. Good luck in your journey of Large Language Models. There is more to come in this space.


Who this course is for:

  • Anybody who wants to learn about LLMs