Lightning AI Studios: Never set up a local environment again →

Author: Sebastian Raschka

Doubling Neural Network Finetuning Efficiency with 16-bit Precision Techniques

Finetuning LLMs with LoRA and QLoRA: Insights from Hundreds of Experiments

Optimizing LLMs from a Dataset Perspective

The NeurIPS 2023 LLM Efficiency Challenge Starter Guide

Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch

Finetuning Falcon LLMs More Efficiently With LoRA and Adapters

Accelerating Large Language Models with Mixed-Precision Techniques

Parameter-Efficient LLM Finetuning With Low-Rank Adaptation (LoRA)

llama-adapter pseudo-code

Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to LLaMA-Adapters

Finetuning LLMs on a Single GPU Using Gradient Accumulation

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