Meta released a suite of tools for securing and benchmarking generative artificial intelligence (AI) models on Dec. 7.

Dubbed “Purple Llama,” the toolkit is designed to help developers build safely and securely with generative AI tools, such as Meta’s open-source model, Llama-2.

Announcing Purple Llama — A new project to help level the playing field for building safe & responsible generative AI experiences.

Purple Llama includes permissively licensed tools, evals & models to enable both research & commercial use.

More details ➡️ https://t.co/k4ezDvhpHp pic.twitter.com/6BGZY36eM2

— AI at Meta (@AIatMeta) December 7, 2023

AI purple teaming

According to a blog post from Meta, the “Purple” part of “Purple Llama” refers to a combination of “red teaming” and “blue teaming.”

Red teaming is a paradigm wherein developers or internal testers attack an AI model on purpose to see if they can produce errors, faults or unwanted outputs and interactions. This allows developers to create resiliency strategies against malicious attacks and safeguard against security and safety faults.

Blue teaming, on the other hand, is pretty much the polar opposite. Here, developers or testers respond to red teaming attacks in order to determine the mitigating strategies necessary to combat actual threats in production, consumer or client-facing models.

Per Meta:

“We believe that to truly mitigate the challenges that generative AI presents, we need to take both attack (red team) and defensive (blue team) postures. Purple teaming, composed of both red and blue team responsibilities, is a collaborative approach to evaluating and mitigating potential risks.”

Safeguarding models

The release, which Meta claims is the “first industry-wide set of cyber security safety evaluation

Go to Source to See Full Article
Author: Tristan Greene

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