cape-dataframes VS pycape

- How can we mitigate hallucinations and bias so that we have higher trust in AI generated text?

The features of the Cape API are designed to help solve these problems for developers, and we have a number of early customers using the API in production already.

To get started, checkout our docs: https://docs.capeprivacy.com/

View the API reference: https://api.capeprivacy.com/redoc

Join the discussion on our Discord: https://discord.gg/nQW7YxUYjh

And of course try the CapeChat playground at https://chat.capeprivacy.com/

There are three essential components that enable this: cape encrypt, cape deploy, and cape run. The command cape encrypt encrypts inputs that can be sent into the Cape enclave for processing, cape deploy performs all needed actions for deploying a function into the enclave, and finally cape run invokes the deployed function with an input that was previously encrypted with cape encrypt. Learn more on the Cape docs.

Well, many of the features in this project are simply wrappers around other libraries like this one. Therefore, the value proposition of this project would either have to be the automation aspect or the idea that you can shield the user from the details of how the implemented techniques work. I think both approaches are risky in this setting.

I was wondering what other helpful and easy of use libraries are there for data anonymization like faker and cape-python ?

Cape has recently deployed a confidential optical character recognition (OCR) service. Anyone can try it through the Cape UI after signing up through Cape’s website. You can also integrate the confidential OCR service with your application using the cape-js and pycape SDKs. In this blog post, we will use this OCR service example to demonstrate how you can benefit from a machine learning service while maintaining users’ data confidentiality.

Cape provides a command line interface (CLI) and also a Python and JavaScript software development kits (SDKs) called pycape and cape-js that allow developers to deploy their apps and allow users to interact with them in a secure manner.

In addition to the platform itself, Cape also provides a CLI that enables its users to easily encrypt their input data, and deploy and run serverless functions with easy commands: cape encrypt, cape deploy, and cape run. Additionally, Cape also provides two SDKs: pycape and cape-js, which allow for using cape within Python and JavaScript programs respectively.