Comprehensive AI Models Collection for All Your Development & Research Needs
AI LLM Power Rankings - Performance, Buzz & Trends
Discover Trusted AI Model Partners - Guaranteed Reliable Support
Submit Your Model Info & Services - Precision Marketing & User Targeting
Discover Popular AI-MCP Services - Find Your Perfect Match Instantly
Easy MCP Client Integration - Access Powerful AI Capabilities
Master MCP Usage - From Beginner to Expert
Top MCP Service Performance Rankings - Find Your Best Choice
Publish & Promote Your MCP Services
Large-scale datasets and benchmarks for training, evaluating, and testing models to measure
Comprehensive Text Extraction and Document Processing Solutions for Users
A demonstration of Parameter-Efficient Fine-Tuning (PEFT) using Low-Rank Adaptation (LoRA) on transformer-based language models. This project provides a minimal example of fine-tuning a pre-trained model on the Shakespeare dataset using Hugging Face’s transformers, datasets, and peft libraries.