Running 2.34k 2.34k The Ultra-Scale Playbook 🌌 The ultimate guide to training LLM on large GPU Clusters
Tracking Universal Features Through Fine-Tuning and Model Merging Paper • 2410.12391 • Published Oct 16, 2024 • 5 • 2
Tracking Universal Features Through Fine-Tuning and Model Merging Paper • 2410.12391 • Published Oct 16, 2024 • 5
Tracking Universal Features Through Fine-Tuning and Model Merging Paper • 2410.12391 • Published Oct 16, 2024 • 5
WebInstruct 🌐 Embeddings 🧱 Models Collection A collection of SoTA embeddings model fine-tuned on WebInstruct dataset to learn to pair instructions with its responses • 3 items • Updated Sep 4, 2024 • 11
Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuning Paper • 2408.00690 • Published Aug 1, 2024 • 25