A new Nemo Open-Source toolkit allow engineers to easily build a front-end to any Large Language Model to control topic range, safety, and security. We’ve all read about or experienced the major issue ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A primary challenge for generative AI and large language models (LLMs) ...
When Nandakishore Leburu was building LLM applications at LinkedIn, he learned that the models weren't the problem. The security around them was. He's now a Principal Engineer at Walmart, working on ...
Security and safety guardrails in generative AI tools, deployed to prevent malicious uses like prompt injection attacks, can themselves be hacked through a type of prompt injection. Researchers at ...
Large language models frequently ship with "guardrails" designed to catch malicious input and harmful output. But if you use the right word or phrase in your prompt, you can defeat these restrictions.
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New 'renewable' benchmark streamlines LLM jailbreak safety tests with minimal human effort
As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated. To identify ...
There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...
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