June 23, 2024, 10 a.m. | Aswin Ak

MarkTechPost www.marktechpost.com

A significant challenge in the field of Information Retrieval (IR) using Large Language Models (LLMs) is the heavy reliance on human-crafted prompts for zero-shot relevance ranking. This dependence requires extensive human effort and expertise, making the process time-consuming and subjective. Additionally, the complexities involved in relevance ranking, such as integrating query and long passage pairs […]


The post APEER: A Novel Automatic Prompt Engineering Algorithm for Passage Relevance Ranking appeared first on MarkTechPost.

ai paper summary ai shorts algorithm applications artificial intelligence challenge complexities editors pick engineering expertise human information language language model language models large language large language model large language models llms machine learning making novel process prompt prompts ranking reliance retrieval staff tech news technology zero-shot

More from www.marktechpost.com / MarkTechPost

AI Focused Biochemistry Postdoctoral Fellow

@ Lawrence Berkeley National Lab | Berkeley, CA

Senior Data Engineer

@ Displate | Warsaw

Solutions Architect

@ PwC | Bucharest - 1A Poligrafiei Boulevard

Research Fellow (Social and Cognition Factors, CLIC)

@ Nanyang Technological University | NTU Main Campus, Singapore

Research Aide - Research Aide I - Department of Psychology

@ Cornell University | Ithaca (Main Campus)

Technical Architect - SMB/Desk

@ Salesforce | Ireland - Dublin