April 10, 2024, 3:29 a.m. | /u/aadityaura

Machine Learning www.reddit.com

Hi everyone,

I am curating a dataset for a specific domain (finance) and need to create a DPO dataset for a custom 7B model. I was wondering if anyone could share their experience or advice on the best practices for creating DPO datasets.

As a starting point, I was thinking of using GPT-4 answers as the "chosen" responses and the 7B model's answers as the "rejected" ones. However, I am concerned that if I choose accepted answers from a different …

advice best practices dataset datasets domain experience finance machinelearning practices

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Research Scientist (Computer Science)

@ Nanyang Technological University | NTU Main Campus, Singapore

Intern - Sales Data Management

@ Deliveroo | Dubai, UAE (Main Office)