The advent of large language models (LLMs) has revolutionized the field of natural language processing, yet they might be attacked to produce harmful content. Despite efforts to ethically align LLMs, these are often fragile and can be circumvented by jailbreaking attacks through optimized or manual adversarial prompts.

Specifically, as part of the question, it contains a referring query that references related video contexts, called referred context .

Recently, various strategies for distributed training of large language models (LLMs) have been proposed.

We use this now common parlance expression on purpose, to avoid confusion with the other "generative"

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