Unleashing the Power of Large Language Models: A Sneak Peek into LLM Security
Briefly

In the realm of AI, Large Language Models like ChatGPT have been transformative, but they also exhibit a significant issue: hallucinations, where plausible but incorrect information is generated.
Addressing hallucinations is crucial for LLM security, as these inaccuracies can lead to significant risks, including data breaches and loss of user trust.
Implementing methods like chain-of-thought prompting and retrieval augmented generation can effectively mitigate the risk of hallucinations in LLMs.
Maintaining LLM security requires a proactive approach, emphasizing user feedback loops and rigorous validation to avoid potential mishaps associated with hallucinations.
Read at Medium
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