LLM Sandbox by Dioptra

What it does

LLM Sandbox is an all-in-one environment to detect hallucinations, evaluate your prompts, select the right data to fine tune your models and track performance version after version.

The highest quality outputs, as rated by lawyers. Generate redlines in Microsoft Word, build custom playbooks in minutes, and flag non market risks—integrated in your workflows.

Our Customer retains complete control over its data and the outputs of our AI Agent; and Dioptra will not share or disclose any data or Customer intellectual property in any form, including trained models or aggregates. Dioptra doesn’t train models on our Customer’s contracts, playbooks nor any other Customer data. Dioptra is SOC2 Type II compliant. We strictly adhere to industry standards for data security. Customer data is encrypted at rest & in transit. We use AWS CloudWatch and GuardDuty for audit logs and monitoring services. Logs are collected and stored from resources, applications, and services we deploy in near-real-time. We have rules-based alerting in place. Logs are retained for…from dioptra.ai

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  Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…

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