LoRA (Low-Rank Adaptation) Courses and Certifications

Trelis Research

Very Few Parameter Fine-Tuning with ReFT and LoRA

Explore advanced fine-tuning techniques ReFT and LoRA for efficient parameter optimization in transformer models. Learn implementation, comparison, and practical tips for improved model performance.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Trelis Research

Fine-tuning Optimizations - DoRA, NEFT, LoRA+, and Unsloth

Explore advanced fine-tuning techniques like DoRA, NEFT, LoRA+, and Unsloth to optimize language models. Learn implementation, comparisons, and practical applications through code examples and demonstrations.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Data Centric

Fine-tuning LLMs Without Maxing Out Your GPU - LoRA for Parameter-Efficient Training

Discover parameter-efficient fine-tuning of large language models using LoRA. Learn to classify consumer finance complaints with RoBERTa on Google Colab's V100 GPU.

• YouTube
• 47 minutes
• On-Demand
• Free Video

USENIX

dLoRA - Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving

Innovative system for efficient LoRA model serving, dynamically orchestrating requests and adapters to improve throughput and reduce latency in LLM inference.

• YouTube
• 15 minutes
• On-Demand
• Free Video

AI Bites

LoRA: Low-Rank Adaptation for Parameter-Efficient Large Language Model Fine-Tuning

Discover how LoRA enables efficient fine-tuning of large language models through low-rank adaptation, from fundamental concepts to practical implementation in transformer architectures.

• YouTube
• 11 minutes
• On-Demand
• Free Video

Unify

LoRA Explained - Efficient Fine-Tuning of Large Language Models

Explore LoRA, a technique for efficient fine-tuning of large language models. Learn about its low-rank matrix decompositions and reduced trainable parameters for task-specific adaptations.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Nerdy Rodent

Local Flux.1 LoRA Training Using AI-Toolkit

Learn to create custom LoRAs for Flux.1 image generation on your PC, enhancing style and object control. Explore the process, requirements, and potential future developments in AI image customization.

• YouTube
• 16 minutes
• On-Demand
• Free Video

CodeEmporium

LoRA - Low Rank Adaptation for Parameter Efficient Fine-Tuning

Dive into parameter-efficient fine-tuning with LoRA, exploring low-rank matrices, adapters, and techniques to optimize neural network storage and performance while maintaining accuracy.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Discover AI

Spectral Analysis of LoRA vs Full Fine-Tuning in Language Models

Delve into the technical comparison between LoRA and full fine-tuning methods for language models, exploring their structural differences, spectral properties, and impact on model performance.

• YouTube
• 28 minutes
• On-Demand
• Free Video

UofU Data Science

Parameter-Efficient Finetuning - QLoRA and LoRA Methods

Explore parameter-efficient fine-tuning techniques with LoRA and QLoRA, learning how to optimize large language models while maintaining performance and reducing computational costs.

• YouTube
• 48 minutes
• On-Demand
• Free Video

H2O.ai

H2O ai Large Language Models (LLMs) - Level 2

Master advanced LLM techniques through data preparation, fine-tuning, and model optimization. Learn QnA dataset creation, quantization, and LoRA while using H2O LLM Studio for practical NLP applications.

• Coursera
• 3 hours 24 minutes
• On-Demand
• Free Online Course (Audit)

Improving Accuracy of LLM Applications

Enhance LLM application accuracy: build SQL agent, create evaluation framework, apply fine-tuning techniques like LoRA and MoME, and learn practical tips for generating training data to boost model performance.

• Coursera
• 1 hour 2 minutes
• On-Demand
• Paid Course

Kevin McAleer

MicroPython & WiFi

1 review

Connect MicroPython devices to WiFi and explore the OSI model layers. Learn about MAC/IP addresses, packets, and implement a Weatherbot using NodeMCU and MQTT.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

kasukanra

Stable Diffusion - How to Train LoRA for Style - LoRA Part 1

1 review

Learn to train LoRA for Stable Diffusion, covering dataset preparation, captioning, GUI usage, and testing. Explore both local and Google Colab methods for creating flexible style and character LoRAs.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Databricks

Large Language Models: Foundation Models from the Ground Up

Explore innovations in transformer-based architectures, efficient fine-tuning, deployment considerations, and multi-modal developments for large language models in this comprehensive deep dive.

• edX
• 4 weeks, 4-8 hours a week
• On-Demand
• Free Online Course (Audit)