据IT之家报道，AI安全公司DeepKeep近日发布了一份评估报告，对Meta公司的Llama 2大模型的安全性提出了严重关切。该报告指出，在涵盖13个关键风险评估类别的测试中，这款备受瞩目的模型仅通过了4项，显示出其在安全性和可靠性上的显著缺陷。
报告详细阐述了Llama 2 7B模型的主要问题，该模型拥有70亿个参数，其幻觉问题尤为突出。据评估，该模型在生成回答时存在48%的幻觉率，这意味着其提供的信息有近半数可能包含虚假内容或误导性信息。这种状况对于依赖AI模型准确性和真实性的应用来说，无疑是一个重大的安全隐患。
DeepKeep的评估结果对Meta的Llama 2模型提出了严厉的批评，同时也引发了业界对于大型语言模型安全性的深入讨论。随着AI技术的广泛应用，模型的准确性和安全性已成为业界关注的焦点。Meta公司尚未对这份报告发表官方回应，但这一事件无疑将促使该公司重新审视其AI开发策略，以确保其产品能符合高标准的安全要求。
此次事件提醒我们，尽管AI技术在不断进步，但其潜在的风险不容忽视。无论是开发者还是用户，都应警惕并重视AI模型的安全评估，以防止可能的信息误导和安全漏洞。
英语如下：
**News Title:** “Serious Safety Concerns with Meta’s Llama 2 Model: DeepKeep Report Finds Illusion Rate as High as 48%”
**Keywords:** Meta Llama 2, safety issues, high illusion rate
**News Content:**
Title: Meta’s Llama 2 Large Language Model Faces Safety Questions, DeepKeep Assessment Reveals Severe Concerns
According to IT Home, AI security firm DeepKeep recently released an assessment report raising serious concerns about the safety of Meta’s Llama 2 large language model. The report highlights that the high-profile model passed only 4 out of 13 critical risk assessment categories, exposing significant flaws in its security and reliability.
The report delves into the main issues of the Llama 2 7B model, which boasts 7 billion parameters, with its hallucination problem standing out prominently. It is assessed that the model has a 48% hallucination rate when generating responses, meaning nearly half of the information it provides could be false or misleading. This presents a major security hazard for applications relying on AI model accuracy and authenticity.
DeepKeep’s assessment harshly criticizes the Llama 2 model, sparking a broader industry discussion on the safety of large language models. As AI technology becomes more pervasive, model accuracy and safety have become key areas of focus. Meta has yet to issue an official response to the report, but this incident is likely to prompt the company to reevaluate its AI development strategy to ensure its products meet stringent safety requirements.
This event serves as a reminder that while AI technology advances, its potential risks cannot be overlooked. Both developers and users should be vigilant and重视 AI model safety assessments to prevent misinformation and security vulnerabilities.
【来源】https://www.ithome.com/0/762/593.htm
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