Cape Privacy

Cape Privacy protects the confidentiality of sensitive information utilized with advanced language models.

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What is Cape Privacy?

Cape Privacy is a secure platform designed to protect users' sensitive information when utilizing large language models. It safeguards documents by encrypting them and removes any sensitive data to maintain confidentiality.

How to use Cape Privacy?

Developers can use Cape Privacy by utilizing Cape's tools for removing personal info and safely sending sensitive data to advanced models like GPT-4 and Claude. Others can use CapeChat, a private chat platform that works with LLMs.

Features

Protecting information with codes

Use Cases

Protected information handling systems
Conversations with AI in private mode
Protecting information secrecy when utilizing Large Language Models

Frequently Asked Questions

Cape Privacy is a platform that enables users to maintain control over their sensitive data when utilizing large language models. The platform secures documents by applying encryption and removes sensitive data through redaction to safeguard user privacy.

Developers can use Cape Privacy by utilizing Cape's tools for removing personal info and securely sharing sensitive data with models such as GPT-4 and Claude. Others can use CapeChat, a private chat platform with Large Language Models.

Cape Privacy assists users in protecting their confidential information when utilizing language models by securing documents through encryption and removing sensitive data.

Developers can use Cape's building blocks to remove identifying details and safely share confidential information with models like GPT-4 and Claude.

CapeChat is a secure communication platform where users can engage in confidential discussions with AI-powered language models.

Key features of Cape Privacy involve encrypting data, removing sensitive information, accessing top language models, and preserving data privacy.

Cape Privacy supports secure data processing systems, confidential conversations with AI models, and protecting data privacy when working with AI models.

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