arxiv preprint - Tree Prompting: Efficient Task Adaptation without Fine-Tuning
AI Breakdown

arxiv preprint - Tree Prompting: Efficient Task Adaptation without Fine-Tuning

2024-02-02
In this episode, we discuss Tree Prompting: Efficient Task Adaptation without Fine-Tuning by John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng. Tree Prompting is a novel method for interacting with smaller language models (LMs) that creates a decision tree of prompts to guide the model's responses. This technique significantly enhances accuracy on tasks compared to traditional prompting methods and rivals the performance of gradient-based fine-tuning. Additionally, some...
View more
Comments (3)

More Episodes

All Episodes>>

Get this podcast on your phone, Free

Create Your Podcast In Minutes

  • Full-featured podcast site
  • Unlimited storage and bandwidth
  • Comprehensive podcast stats
  • Distribute to Apple Podcasts, Spotify, and more
  • Make money with your podcast
Get Started
It is Free