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An exceptional and comprehensive guide that shows readers how to effortlessly train their own Language Models for productivity, efficiency and remarkable LLM performance.

HOW TO TRAIN YOUR OWN LLM?

Discover why and how to train your very own LLMs with our comprehensive guide, providing you the necessary tools for this AI age.

This guide is not about fluffy AI marketing talk - but hands-on, hard step-by-step facts leading you through the process of training the best LLM models currently available.

A complete step-by-step guide for training your very own Language Model.

Using ChatGPT is nice - but what about Data Privacy and costs?

Training your own LLM is not as complex as you might think and can save you costs on a massive scale. Even more, running your own LLM puts you back in the drivers seat of your AI operation.

  • Discover why you want to train your own Language Model
  • Learn the basics about 'Transfer Learning' - a process of efficiently fine-tuning pre-trained models
  • Find the best base models to use for your fine-tuning efforts
  • Learn how to create a powerful training dataset without investing thousands of hours and dollars
  • Get a step-by-step guide on how to prepare and run an LLM fine-tuning training process - on a single GPU

By the end of the guide, you’ll have all the confidence and knowledge you need to start your own LLM fine-tuning experiments and production projects.

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Author

Author

Andreas Nigg – Hey there, I'm the author behind this guide.

I'm a data engineering and analytics enthusiast with over 8 years of valuable experience working with small and medium-sized software companies. My passion revolves around making data accessible to everyone and helping businesses grow through data-driven insights. I firmly believe that data can be fun and engaging, and I strive to simplify complex information, making it easier to understand and apply for all. As a steadfast ally for SMBs, I love crafting tailored data solutions that address their unique challenges and pave the way for continued success.

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