Jan. 26, 2024, 3 p.m. | Ben Lorica

Gradient Flow gradientflow.com

Function Calling, particularly relevant in large language models (LLMs), is a transformative feature that significantly broadens the capabilities of these frontier models. This feature allows AI models to go beyond basic text generation and language understanding by interacting with and executing external functions. At its essence, Function Calling in AI entails the invocation or executionContinue reading "Function Calling AI: Transforming Text Models into Dynamic Agents"


The post Function Calling AI: Transforming Text Models into Dynamic Agents appeared first on …

agents ai models basic beyond capabilities dynamic feature function functions language language models language understanding large language large language models llms text text generation understanding

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Global Data Architect, AVP - State Street Global Advisors

@ State Street | Boston, Massachusetts

Data Engineer

@ NTT DATA | Pune, MH, IN