MyScaleGPT-AI-powered search for articles

Example

A researcher looking for the latest advancements in quantum computing can use MyScaleGPT to pull relevant ArXiv papers published in the last year, focusing on specific keywords or categories such as 'quantum algorithms' or 'quantum cryptography.'

Scenario

A physics professor preparing a lecture on quantum mechanics uses MyScaleGPT to identify and retrieve the most recent and highly-cited research papers in that field, filtering based on publication dates and key terms.

Example

A historian seeking information on the Industrial Revolution can retrieve detailed Wikipedia entries on key events, figures, and related subjects by specifying relevant keywords and filtering for the most viewed or authoritative articles.

Scenario

A student writing a research paper on 19th-century European history uses MyScaleGPT to find the most comprehensive and well-referenced Wikipedia articles on the Industrial Revolution, filtering the search to return the most viewed or extensively cited entries.

Example

An engineer researching machine learning models could filter ArXiv papers to find publications that focus specifically on 'neural network optimization techniques' from the last five years, filtering out irrelevant or older studies.

Scenario

A data scientist working on optimizing machine learning algorithms relies on MyScaleGPT to retrieve academic papers that focus exclusively on recent innovations in optimization, limiting the results by publication date and specific keywords.