The company will use the data center to run inference workloads and train new AI models. It released its most advanced LLM, ...
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New AI testing method flags fairness risks in autonomous systems
Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an ...
Overview AI testing tools now automate complex workflows, reducing manual effort and improving software reliability significantly.Companies increasingly adopt p ...
RSA CONFERENCE — Novee today introduced AI Red Teaming for LLM Applications for its AI penetration testing platform, designed to uncover security vulnerabilities in LLM-powered applications before ...
Novee has introduced AI Red Teaming for LLM Applications, an autonomous security testing capability built into its AI ...
It looks like Anthropic is predicting that LLMs will eventually be able to do the vast majority of jobs in broad categories ...
We’ve explored how prompt injections exploit the fundamental architecture of LLMs. So, how do we defend against threats that ...
In the context of LLM-powered applications, observability extends far beyond uptime or system health; it is about gaining ...
Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...
The OWASP Top 10 for LLM Applications is the most widely referenced framework for understanding these risks. First released in 2023, OWASP updated the list in late 2024 to reflect real-world incidents ...
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