Building a Large Language Model (LLM) from scratch has been my dream. I want to understand how OpenAI, Meta, and Mistral AI build their GPT models. It seems amazing to create my own model.

However, when I started searching for documentation or videos on this subject, I found either no results or unsatisfactory ones. Some developers have published projects on GitHub about this topic, but I couldn’t understand much from them.

I quickly realized that building my own LLM or GPT couldn’t be done by a single developer like me with just a personal computer. It requires a deep understanding of mathematics, data science, machine learning, and deep learning before even starting to code and train an LLM.

So, what can I do to achieve this goal? 🤔

One night, after 10 PM, just before sleeping, I started searching again on Google, ChatGPT, and YouTube for books or anything that could help me start creating, building, and understanding how to build my own LLM.

After some research using terms like “LLM from scratch” and searching for people working at Google, OpenAI, Meta, and Mistral, I found an awesome person who has written a book about “How to Build an LLM from Scratch.“

You can find this book at this link: Build a Large Language Model from Scratch.

In this blog series, I want to share my adventure of creating my own LLM. I will guide you through the steps required to create your own LLM, covering the essential aspects of data preprocessing, model architecture, training, and more.

LLM Roadmap

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1. Day 1 : How I Built My Own Large Language Model (LLM) AI from Scratch (Here)
2. Day 2 : Building LLM from Scratch – Resources We Need: “Attention Is All You Need” (Here)
3. Day 3 : Reading first books to start building my first AI from scratch (Here)
4. Day 4 : Understanding AI – Differentiating AI, Machine Learning, Deep Learning, Large Language Models, Generative AI, and NLP (Here)
5. Data Scientist Roadmap With Python (Here)

Conclusion

In conclusion, if you’ve found value in this journey of building a Large Language Model (LLM) from scratch and are eager to stay updated on the latest insights, resources, and developments in the world of AI and LLM, I invite you to subscribe to our newsletter.

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