Iterative improvements from feedback for language models

Abstract excerpt

Iterative improvements from feedback is a general approach for many, if not all, successful systems.Ground-truth-in-the-loop is critical.Language models (LMs) like ChatGPT are phenomenal, however, there are still issues like hallucinations and a lack of planning and controllability.We may leverage LMs' competence of language to handle tasks by prompting, fine-tuning, and augmenting with tools and APIs.AI aims for...

Topics

Open a Topic to create a Post that cites this publication.

• Algorithms
• COVID-19 diagnosis using AI
• Mutation
• Natural Language Processing

Identifiers and source

Literature Corpus work

24ceb287-f797-53ba-be58-55ff3e8d9299

DOI

10.14293/pr2199.000220.v1