From the course: CompTIA SecAI+ (CY0-001) Cert Prep
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Zero-shot prompting
From the course: CompTIA SecAI+ (CY0-001) Cert Prep
Zero-shot prompting
Zero-shot prompting is one of the simplest and most common prompting techniques. In a zero-shot prompt, the model receives only the instruction and must rely entirely on what it already knows to complete the task. For example, you might say, translate this malware report into plain English or summarize the following firewall log. The model reads your instruction and produces a response based on its pre-trained knowledge. How well it performs depends largely on how clearly the task is described. Zero-shot prompting works best for simple tasks or for tasks the model has been trained to handle. When a task is more complex or ambiguous, the results can vary. That is why clarity in wording matters. You can improve zero-shot prompts by specifying the desired output format or focus area. For instance, you could say, summarize the following firewall log in one paragraph that highlights suspicious IP activity. Zero-shot prompting is like giving clear directions without examples. result. The…
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Contents
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The AI lifecycle1m 39s
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Business alignment in the AI lifecycle1m 43s
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Data collection2m 20s
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Data preparation3m 15s
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Model development and selection2m 13s
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Model evaluation and validation2m 29s
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Model deployment and integration3m 25s
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Monitoring and maintenance3m 19s
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Manipulating application integrations4m 8s
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AI supply chain attacks2m 4s
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Insecure plug-in design2m 9s
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Insecure output handling1m 23s
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Output integrity attacks2m 8s
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Model denial of service1m 31s
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Excessive agency1m 33s
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Overreliance1m 34s
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AI hallucinations1m 4s
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Monitoring prompts and responses2m 51s
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Log monitoring4m 30s
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Rate and cost monitoring5m 1s
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Auditing for AI hallucinations3m 33s
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Auditing for accuracy3m 29s
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Auditing for bias and fairness4m 35s
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Auditing access and security compliance3m 48s
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Responsible AI5m 29s
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AI risks2m 23s
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Introduction of bias2m 37s
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Accidental data leakage2m 53s
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Reputational loss2m 11s
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Accuracy and performance of the model2m 22s
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Intellectual property risks3m 31s
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Autonomous systems2m 27s
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Shadow IT and shadow AI1m 48s
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Awareness training2m 21s
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