How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

OWASP recently released its top 10 list for large language model (LLM) applications, in an effort to educate the industry on potential security threats to be aware of when deploying and managing LLMs.

Executives do not buy models. They buy outcomes. Today, the enterprise outcomes that matter most are speed, privacy, control and unit economics. That is why a growing number of GenAI adopters put ...

The new feed system will analyze what users read, like, and discuss to connect related topics and push insightful posts to wider audiences.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Training a large language model (LLM) is ...

Sensitive information disclosure via large language models (LLMs) and generative AI has become a more critical risk as AI adoption surges, according to the Open Worldwide Application Security Project ...

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and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated.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

Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...