April 17, 2024, 3:07 p.m. | Rutam Bhagat

DEV Community dev.to

LLMs have emerged as a useful tool capable of understanding and generating human-like text. However, as with any technology, there's always a need to rigorously test and evaluate these models to ensure they operate in a safe, ethical, and unbiased manner. Enter, red teaming – a proactive approach to identify potential vulnerabilities and weaknesses before they become real-world issues.


Traditional red teaming methods for LLMs, while effective, can be time-consuming and limited in scope. But what if we could use …

ai automated ethical however human human-like identify llm llms machinelearning rag red teaming safe technology test text tool unbiased understanding vulnerabilities

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US