Overview of our two-stage fine-tuning strategy. We run prompt
$ 11.00 · 4.5 (561) · In stock
Instruction Fine-Tuning: Does Prompt Loss Matter?
MetaICL Learning to Learn In Context (NAACL 2022)_哔哩哔哩_bilibili
Llama 2 vs. GPT-4: Nearly As Accurate and 30X Cheaper
Overview of our two-stage fine-tuning strategy. We run prompt
Fine Tuning vs. Prompt Engineering Large Language Models •
A step-by-step guide to competitive market analysis
12 Prompt Engineering Techniques. Prompt Engineering can be
Deep-learning two-photon fiberscopy for video-rate brain imaging
Mistral 7B Tutorial: A Step-by-Step Guide to Using and Fine-Tuning
Inderjit S. Dhillon's research works University of Texas at Austin, TX (UT) and other places
Preserving In-Context Learning Alibility in Large Language Model Fine-tuning (Ar_哔哩哔哩_bilibili