Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together

15 July 2024

Papers citing "Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together"

4 / 4 papers shown

Title
Abacus: A Cost-Based Optimizer for Semantic Operator Systems Matthew Russo Sivaprasad Sudhir Gerardo Vitagliano Chunwei Liu Tim Kraska Samuel Madden Michael Cafarella 151 0 0 20 May 2025
COSMOS: Predictable and Cost-Effective Adaptation of LLMs Jiayu Wang Aws Albarghouthi Frederic Sala 92 0 0 30 Apr 2025
Clinical trial cohort selection using Large Language Models on n2c2 Challenges Chi-en Amy Tai Xavier Tannier LM&MA 104 1 0 19 Jan 2025
Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval Sheryl Hsu Omar Khattab Chelsea Finn Archit Sharma KELM RALM 80 6 0 30 Oct 2024