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Apps 2023-05-16

ZBrain

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Customized chatbot creation without coding.

Overview

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Generated by ChatGPT

ZBrain.AI is a platform that enables users to create a personalized ChatGPT app trained on their own data. The tool allows users to import data in any format, including text or images from any source like documents, cloud or APIs.

Once the data is uploaded, ZBrain.AI launch a ChatGPT-like interface based on the user's preferred Large Language Model like GPT-4, FLAN and GPT-NeoX and answer user queries based on the imported data.

ZBrain.AI also includes a feature called ZBrain Flow, which empowers users to create business logic without writing any code. The intuitive flow interface allows users to connect multiple large language models, prompt templates, and image and video models with extraction and parsing tools to build powerful and intelligent applications.

The drag-and-drop Flow interface simplifies creating and modifying complex business logic. Additionally, ZBrain.AI includes a Risk Governance feature that enhances data safety by removing risky information and replacing it with synthetic data through prompt engineering.

The tool identifies and eliminates risks such as Financial Risk, Medical Risk, Privacy Risk, Safety Risk, Harmful Language Risk, IP/Code Risk, and Confidential Info Risk.

ZBrain.AI is also optimized to work across various departments in different industries, including automotive, customer support, cyber security, education, finance, healthcare, hospitality, insurance, legal, logistics, manufacturing, retail, SaaS, and supply chain.

The tool provides users with a comprehensive list of sample questions that can be asked to an LLM connected to a company's private data source to optimize workflows.

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Apps ZBrain No ratings

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Comments(1)

Rk Khan

Jul 10, 2023

CallAre you looking for information about voice changer call apps? Voice changer call apps are applications that allow you to modify or disguise your voice during phone calls. These apps are typically used for entertainment purposes or for maintaining anonymity.

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ZBrain was manually vetted by our editorial team and was first featured on June 17th 2023.

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Pros and Cons

Pros

Customized chatbot creation

No coding needed

Supports any data format

Imports data from varied sources

Compatible with GPT-4, FLAN, GPT-NeoX

Warnings for risky data

ZBrain Flow for business logic

Drag-and-drop business logic modeling

Risk Governance feature

Multi-sector optimization

Sample questions for company data

Supports various large language models

Image and video models supported

Tools for extracting and parsing

Risk mitigation in data handling

Cross-industry application

Data governance for data protection

Creates personalized ChatGPT apps

Applicable in various departments

Critical risk identification

Industry specific workflows

Eliminates Identified risks

Use with proprietary data

Automotive industry application

Customer Support application

Cyber security application

Education sector application

Finance sector application

Healthcare industry application

Hospitality sector application

Insurance sector application

Legal industry application

Logistics sector application

Manufacturing industry application

Retail sector application

SaaS industry application

Supply Chain sector application

Tenant-specific actions supported

Background Digital Agents

Generating content using tenant data

Creating scripts, queries, expressions

Create unique avatars, icons

Search with natural language prompts

Prompt-based form creation

Cons

No multilingual support

No voice command feature

Limited language models

No sentiment analysis

Risky chatbots creation

Potential data integrity issues

Limited data formatting capabilities

No real-time analysis

Potentially complex drag-and-drop interface

Requires manual data upload

Q&A

What is ZBrain.AI?

ZBrain.AI is a tool for the creation of personalized ChatGPT apps. Users can train these apps on data they choose and import, which can be in any format, from any source. This allows users to launch a ChatGPT-like interface based on their preferred Large Language Models, giving them the ability to answer user queries based on the imported data.

How can I create a personalized chatbot with ZBrain?

With ZBrain.AI, users can create a personalized ChatGPT app by importing their preferred data, can be in various formats like text or images from any source like documents, cloud or APIs. The tool then employs this data to launch a ChatGPT-like interface which can answer queries based on the imported data.

What large language models does ZBrain support?

ZBrain supports various Large Language Models including GPT-4, FLAN, and GPT-NeoX.

What is ZBrain Flow?

ZBrain Flow is an intuitive feature within ZBrain.AI that allows users to create business logic without writing code. Its drag-and-drop interface enables users to connect multiple large language models, prompt templates, and image and video models with extraction and parsing tools in order to build intelligent applications.

Can I create business logic without coding on ZBrain?

Absolutely, ZBrain enables you to create business logic without writing any code. It offers an intuitive flow interface that facilitates the connection of multiple large language models, prompt templates, and image and video models with extraction and parsing tools to build robust and intelligent applications.

What data sources can ZBrain import data from?

ZBrain.ai imports data from a plethora of sources. This can be any document, image, or text data from any source such as physical documents, cloud storage solutions, or APIs.

How does ZBrain handle data privacy and safety?

ZBrain.AI employs a Risk Governance feature that enhances data safety by removing risky information and replacing it with synthetic data through prompt engineering. This feature helps in the identification and elimination of various forms of risk including Financial Risk, Medical Risk, Privacy Risk, Safety Risk, Harmful Language Risk, IP/Code Risk, and Confidential Info Risk.

How does ZBrain.AI mitigate potential risks?

In order to mitigate potential risks, ZBrain.AI uses a Risk Governance feature. It enhances data safety by identifying and eliminating risks such as Financial Risk, Medical Risk, Privacy Risk, Safety Risk, Harmful Language Risk, IP/Code Risk, and Confidential Info Risk. It does this by replacing risky information with synthetic data through prompt engineering.

Can ZBrain.AI work across different industries?

ZBrain.AI can work across different industries. It is optimized for various departments in different industries and sectors such as automotive, customer support, cyber security, education, finance, healthcare, hospitality, insurance, legal, logistics, manufacturing, retail, SaaS, and supply chain.

What is the purpose of sample questions provided by ZBrain?

ZBrain provides a comprehensive list of sample questions to the users. These questions can be asked to a Large Language Model connected to a company's private data source through ZBrain. These example queries offer a guide to how businesses can leverage ZBrain to ask pertinent questions relating to their industry or operations to optimize workflows.

How does ZBrain intimatly work with tools like GPT-4, FLAN and GPT-NeoX?

Through ZBrain, tools like GPT-4, FLAN, and GPT-NeoX can be used to launch a ChatGPT-like interface tailored to the user's needs. Users upload their data to the system, and these tools process that data and use it to answer user queries, all within the interface provided by ZBrain.

What is the 'Risk Governance' feature of ZBrain?

The 'Risk Governance' feature of ZBrain helps to enhance data safety. It identifies and eliminates multiple types of risk - Financial Risk, Medical Risk, Privacy Risk, Safety Risk, Harmful Language Risk, IP/Code Risk, and Confidential Info Risk. It does so by removing the risky information and replacing it with synthetic data through what is known as prompt engineering.

What industries is ZBrain optimized for?

ZBrain.AI is optimized to work across various industries. These include automotive, customer support, cyber security, education, finance, healthcare, hospitality, insurance, legal, logistics, manufacturing, retail, SaaS, and supply chain.

Can you run background Digital Agents for specific tasks on ZBrain?

Yes, you can indeed run background Digital Agents for specific tasks on ZBrain. It's an appropriate tool for performing background automation tasks for specific tasks for a tenant.

Does ZBrain allow me to search tenant data with natural language prompts?

Yes, ZBrain allows users to search tenant data using natural language prompts. This functionality makes it easier to perform complex data searches and analyses without the need for advanced technical skills.

Can you create images specific to a tenant, like creating unique avatars, icons etc. on ZBrain?

Yes, ZBrain does allow users to create images specific to a tenant - for example, unique avatars or icons. This helps in creating a unique and personalized user experience.

What is 'prompt engineering' in ZBrain?

'Prompt engineering' in ZBrain refers to the process of removing risky information and replacing it with synthetic data. This is a part of ZBrain.AI's Risk Governance feature that enhances data safety.

How does ZBrain replace risky information with synthetic data?

ZBrain replaces risky information with synthetic data through its 'Risk Governance' feature. This feature identifies potential risks in information and mitigates them by replacing the risky data with synthetic alternatives.

What formats of data can you import on ZBrain?

ZBrain can import data in any format. This includes text data, image data, data from any document, cloud, or API source. It is also capable of launching a ChatGPT-like interface based on the imported data to provide the insight users need.

Does ZBrain have a feature for creating tenant-specific application data?

Yes, with the help of ZBrain, you can create tenant-specific application data. It can be used to generate content like headings, forms, and short or long-form content, and much more.