My advice to teams deploying real-world AI agents is to build your constraint system before you even start optimizing your prompts.

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 ...

The prompt injection is coming from inside the house ...

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 ...

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 ...

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 ...

From unfettered control over enterprise systems to glitches that go unnoticed, LLM deployments can go wrong in subtle but serious ways. For all of the promise of LLMs (large language models) to handle ...

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and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated.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 ...

The heady, exciting days of ChatGPT and other generative AI and large-language models (LLMs) is beginning to give way to the understanding that enterprises will need to get a tight grasp on how these ...