Sebastian Raschka • 9/15/2023

Optimizing LLMs From a Dataset Perspective

Read Original

This technical article details methods for optimizing Large Language Models (LLMs) by curating and manipulating instruction datasets for supervised fine-tuning. It explains the components of instruction datasets, discusses relevance to efficiency challenges like the NeurIPS LLM Efficiency Challenge, and guides on preparing custom datasets for open-source LLMs.

0 comments
#llm #Neural Networks #Dataset
Optimizing LLMs From a Dataset Perspective

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
Quoting Thariq Shihipar
Simon Willison • 2 votes
2
Using Browser Apis In React Practical Guide
Jivbcoop • 2 votes
3
Top picks — 2026 January
Paweł Grzybek • 1 votes
4
In Praise of –dry-run
Henrik Warne • 1 votes
5
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár • 1 votes
6
Vibe coding your first iOS app
William Denniss • 1 votes
7
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
8
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes