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Large Language Models: The Future of AI

Shobhit Agarwal
2 min readMay 13, 2024

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Large Language Models (LLMs) are a type of artificial intelligence (AI) that are trained on a massive amount of text data. This data can include books, articles, code, and even social media posts. LLMs can then be used to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

Why are LLMs important?

LLMs are important because they have the potential to revolutionize the way we interact with computers. For example, LLMs could be used to create more natural and engaging chatbots, or to develop new educational tools that can personalize learning for each student.

What are some of the challenges facing LLMs?

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One of the biggest challenges facing LLMs is that they can be biased. This is because they are trained on data that is created by humans, and humans are often biased. As a result, LLMs can sometimes generate text that is offensive or harmful.

Another challenge facing LLMs is that they can be expensive to train. It takes a lot of computing power to train an LLM, and this can be very expensive.

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Shobhit Agarwal
Shobhit Agarwal

Written by Shobhit Agarwal

Data Scientist | Machine Learning | Deep Learning | Generative AI | LLM | Computer Vision | Python | MLOPs | Nvidia | GCP Certified | Azure Fabric Certified

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