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A recent SD Times Live! Supercast shed light on practical solutions to stabilize the testing environment for dynamic AI applications.
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
Gentrace, a developer platform for testing and monitoring artificial intelligence applications, said today it has raised $8 million in an early-stage funding round led by Matrix Partners to expand ...
Patronus AI Inc., a startup helping companies detect and fix reliability issues in their large language models, today announced that it has closed a $17 million investment. Notable Capital led the ...
Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...
The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.
When we start thinking about Generative AI, there are 2 things that come to mind, one is relative to the GenAI model itself with its countless possibilities and next is the application with definitive ...
A new technical paper titled “ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification” was published by researchers at University of Florida. “Current ...
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