Overview of our two-stage fine-tuning strategy. We run prompt-tuning at

Description

Full Fine-Tuning, PEFT, Prompt Engineering, or RAG?

MetaICL Learning to Learn In Context (NAACL 2022)_哔哩哔哩_bilibili

Knowledge Graphs & LLMs: Fine-Tuning vs. Retrieval-Augmented Generation - Graph Database & Analytics

LLaMA 2: a model overview and demo tutorial with Paperspace Gradient

A Guide on 12 Tuning Strategies for Production-Ready RAG

Fine Tuning vs. Prompt Engineering Large Language Models •

Prompt Engineering: Retrieval Augmented Generation(RAG), by A B Vijay Kumar

Prompt Engineering And Why It Matters To The AI Revolution

How to Become a Prompt Engineer: A Comprehensive Guide

$ 23.00USD
Score 4.5(562)
In stock
Continue to book