Sebastian Raschka • 6/2/2024

Developing an LLM: Building, Training, Finetuning

Read Original

This article presents a comprehensive video guide on developing Large Language Models (LLMs). It covers the entire development cycle including architectural implementation, dataset considerations, tokenization, pretraining techniques, finetuning for classification and instruction, preference finetuning, and model evaluation methods with their respective caveats.

0 comments
#Architecture #Tokenization #Finetuning
Developing an LLM: Building, Training, Finetuning

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
The Beautiful Web
Jens Oliver Meiert • 2 votes
2
When your coding agent doesn’t understand your project, you’ll get junk
Benjamin Cane • 1 votes
3
LLM Use in the Python Source Code
Miguel Grinberg • 1 votes
4
Wagon’s algorithm in Python
John D. Cook • 1 votes
5
An example conversation with Claude Code
Dumm Zeuch • 1 votes