From Data to Deployment: The Journey of Building Large Language Models

In this second document of Generative AI deep dives series, development of Large Language model is covered. There are multiple organization, working at their individual capacity to create Large Language Models. Most of the models are tasked with specific use case.

This document explains with the help of step-by-step guide, how a Large Language Model is developed.

There are 8 key stages:

1.     Defining the problem
2.     Data Collection
3.     Model Architecture Selection
4.     Pretraining
5.     Fine tuning
6.     Model Evaluation
7.     Deployment
8.     Maintenance

I hope you find the document helpful. Some of the technical steps like Transformer architecture will be covered in future articles.

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