Introducing “ZBrain.AI”: A groundbreaking platform that empowers users to forge their own personalized ChatGPT application, meticulously tailored to their unique needs. This ingenious tool opens the gateway to importing data from myriad sources—be it text, images, or documents—from diverse origins like cloud repositories or APIs.
Once the data is seamlessly uploaded, ZBrain.AI springs into action, unfurling a ChatGPT-esque interface molded according to the user’s chosen Large Language Model, such as GPT-4, FLAN, or GPT-NeoX. It stands ready to answer user inquiries with precision, leveraging the imported data.
Bolstering this prowess is ZBrain Flow—an ingenious feature that empowers users to conjure intricate business logic sans the need for coding. Through an intuitive and fluid flow interface, users can interlink diverse large language models, prompt templates, and image and video models, synergizing them with extraction and parsing tools to conjure robust, intelligence-infused applications.
The drag-and-drop simplicity of the Flow interface turns the creation and refinement of multifaceted business logic into an effortless endeavor. Notably, ZBrain.AI stands as the vanguard of data safety, fortified by its Risk Governance facet. This feature adeptly purges hazardous information and ushers in synthetic data through astute prompt engineering.
From Financial Risk to Medical Risk, Privacy Risk, Safety Risk, Harmful Language Risk, IP/Code Risk, and Confidential Info Risk—ZBrain.AI vigilantly identifies and expunges potential threats, fostering data integrity.
ZBrain.AI stands as a versatile stalwart, designed to serve across an array of industries and departments—ranging from automotive, customer support, and cyber security to education, finance, healthcare, hospitality, insurance, legal, logistics, manufacturing, retail, SaaS, and supply chain management.
This ingenious tool further gifts users a comprehensive trove of sample questions, meticulously tailored to the company’s private data source, to orchestrate workflow optimization with an LLM at the helm.