In order to build a society that can place trust in intelligent agents to perform sensitive tasks, we must ensure our technology is transparent, reliably safe, and secure.
The HELM (Holistic Evaluation of Language Models) benchmark, created by Stanford University's Center for Research on Foundation Models (CRFM), is a robust framework introduced to assess appropriateness-determining language models. Emergence’s appropriateness-determining model achieved top performance against HELM metrics.
The high accuracy and precision of our model represent a new achievement in reliably identifying unsuitable prompts and biased datasets.
Emergence is fully SOC-2 compliant and adheres to the NIST Cybersecurity Framework. We’re dedicated to creating means by which AI can positively impact even highly sensitive or regulated domains.
Simulating potential threats to identify
vulnerabilities.
Implementing privacy-by-design, data minimization, encryption and other strong privacy measures.
Simulating potential threats to identify
vulnerabilities.
Safeguarding sensitive data within AI workloads, adhering to privacy regulations, and preventing data breaches.
Implementing strategies to secure AI applications throughout their lifecycle, from development to deployment.
Utilizing tools with periodic human-in-the-loop validation and monitoring.
We work closely with the open source community. Two of our most advanced agents are open-source, in an effort to ensure any developer may contribute to the growing Emergence ecosystem. Our self-improving agents benefit from widespread use, and by virtue of this powerful technology being in the hands of the public, it is safeguarded against hidden errors or privacy concerns.
We use a walled garden model for grounded responses (RAG).
We use the right model size for right tasks.
We train LLMs to be hallucination-resistant.
We identify domain-specific workflows.
We do rigorous testing and validation.
We maintain a high level of configurability.
There’s a place here for all those interested in emergent systems and the future of AI. Come work in one of our offices in New York, Irvine, Spain, or India, or join us remotely.
