Giskard announced the Phare (Potential Harm Assessment & Risk Evaluation) benchmark in February, which is designed to evaluate the safety and security of leading large language models across four domains: hallucination, bias and fairness, harmfulness, and vulnerability to intentional abuse.

Authors

• Person: Not available Organization: Giskard
  Phare LLM Benchmark: an analysis of hallucination in ...

Sources

• Phare LLM Benchmark: an analysis of hallucination in ... www.giskard.ai Giskard via serper

Referenced by nodes (1)

• Large Language Models concept