Claim record · edition 1.0.0
si-009Established result
Language models can be trained or prompted to invoke external tools and incorporate returned results.
Both learned tool invocation and interleaved reason-act prompting are documented mechanisms.
Limits of this claim
Tool access is a property of the deployed system, not the model. Comparisons that vary tool access are not model comparisons.
Supporting source records · 2
primary paperContent verified
Toolformer: Language Models Can Teach Themselves to Use Tools
Schick et al. · 2023
Learned external tool invocation from the model side.
Source record →primary paperContent verified
ReAct: Synergizing Reasoning and Acting in Language Models
Yao et al. · 2022
The interleaved reason-and-act pattern underlying most agent loops.
Source record →