ChIP-GPT: a managed large language model for robust data extraction from biomedical database records.

ABSTRACT: Increasing volumes of biomedical data are amassing in databases. Large-scale analyses of these data have wide-ranging applications in biology and medicine. Such analyses require tools to characterize and process entries at scale. However, existing tools, mainly centered on extracting predefined fields, often fail to comprehensively process database entries or correct evident errors-a task humans can easily perform. These tools also lack the ability to reason like domain experts, hindering their robustness and analytical depth. Recent advances with large language models (LLMs) provide a fundamentally new way to query databases. But while a tool such as ChatGPT is adept at answering questions about manually input records, challenges arise when scaling up this process. First, interactions wit

SUBMITTER: Cinquin O 

PROVIDER: S-EPMC10840379 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature