From the course: Securing Generative AI: Strategies, Methodologies, Tools, and Best Practices
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Understanding the significance of LLMs in the AI landscape
From the course: Securing Generative AI: Strategies, Methodologies, Tools, and Best Practices
Understanding the significance of LLMs in the AI landscape
- Everyone is using large language models or LLMs nowadays, pretty much everywhere. Whether you're using chatbots like ChatGPT or Claude or Grok, or applications that are now using AI for many different implementations. So from search engines like Perplexity or traditional ones like Google or even your operating system. AI is used everywhere, so these are transforming the way that we also interact with computers. These advanced neural networks, they are trained on very large amount of data and have definitely revolutionized natural language processing or NLP, and definitely open up for new possibilities across pretty much all industries in there, whether it is medicine, cybersecurity, programming, software development, and so on. LLMs represent a significant leap forward in AI capabilities, unlike their predecessors, which are often limited to a specific task, definitely LLMs can understand and generate human-like text and images. And of course, it's transforming the way that we're…
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Learning objectives1m 18s
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Understanding the significance of LLMs in the AI landscape7m 6s
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Exploring the resources for this course: GitHub repositories and others2m 54s
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Introducing retrieval augmented generation (RAG)12m 24s
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Understanding the OWASP Top 10 risks for LLMs5m 46s
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Exploring the MITRE ATLAS™ (adversarial threat landscape for artificial intelligence systems) framework5m 38s
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Understanding the NIST taxonomy and terminology of attacks and mitigations7m 8s
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