the rise and potential of large language model based agents: a survey — search2

Comprehensive cross-graph analysis of the rise and potential of large language model based agents: a survey. Key facts, corroborated claims, sources from 9 knowledge graphs, knowledge gaps, and cross-graph signals.

Data Sources

Results synthesized from web crawls, academic citations (Semantic Scholar), patent filings (USPTO), corporate ownership records (SEC EDGAR, Companies House), software dependency graphs (npm, PyPI, crates.io), infrastructure records (DNS, TLS certificates, IP ranges), temporal archives (Wayback Machine), government datasets (Data.gov), and conversational sources (Hacker News, Reddit).

View Modes