Pull to refresh
77.16
Open Data Science
Крупнейшее русскоязычное Data Science сообщество
Show first

Building a GPT-like Model from Scratch with Detailed Theory and Code Implementation

Reading time14 min
Views35K

Unlock the power of Transformer Neural Networks and learn how to build your own GPT-like model from scratch. In this in-depth guide, we will delve into the theory and provide a step-by-step code implementation to help you create your own miniGPT model. The final code is only 400 lines and works on both CPUs as well as on the GPUs. If you want to jump straight to the implementation here is the GitHub repo.

Transformers are revolutionizing the world of artificial intelligence. This simple, but very powerful neural network architecture, introduced in 2017, has quickly become the go-to choice for natural language processing, generative AI, and more. With the help of transformers, we've seen the creation of cutting-edge AI products like BERT, GPT-x, DALL-E, and AlphaFold, which are changing the way we interact with language and solve complex problems like protein folding. And the exciting possibilities don't stop there - transformers are also making waves in the field of computer vision with the advent of Vision Transformers.

Read more
Total votes 25: ↑25 and ↓0+25
Comments1

Information

Website
ods.ai
Registered
Founded
Employees
5,001–10,000 employees
Location
Россия