Private GenAI for Companies
Large Language Models trained with in-house data
Private GenAI for Companies
Large Language Models trained with in-house data
Private GenAI for Companies
Large Language Models trained with in-house data
Goal & Purpose
Large Language Models are a powerful form of Generative AI. However, many of the widely available LLMs are public and open, offering no security nor privacy to enterprise organizations. Private GenAI can provide chatbots, analytics assistants, and document analysis based on private internal training data. This means that a Private GenAI engine will answer exactly what the organization determines to be the correct answer, not what the chaotic public Internet may think the answer is.
Security
Accuracy
On Premise
Customizable
PrivateGPT for Customer Support
Iterate can train a "GPT"-like Large Language Model to act as either a front-line chatbot for your website, or as an answer assistant for your current human customer support teams. We can train the LLM based on all the inbound and outbound customer support emails, product catalog, and pricing, for a completely private and customized AI solution.
GenAI Lessons for Training
With a Large Language Model (LLM) trained by your organization's own private proprietary and unique data, employee training becomes much easier, more accurate, and less biased due to human intervention. The LLM can generate lesson plans and quizzes around products and processes. Each lesson plan can be unique, level-specific, or even refined based on the answers and responses from previous lessons.
Private LLM for Data Analysis
A Large Language Model can be trained on internal financial models, sales projections, website analytics, and complex product data sets. Where previous Business Intelligence providers rely on complex dashboards and endless charts, a Private LLM can act as a "quick answer machine" AI to answer product questions, financial questions, or trained plans throughout the enterprise.
29 Points to Consider for Private Enterprise LLMs
AI continues to dominate, promising to revolutionize business, science, and society. Goals like streamlining operations, optimizing labor, and faster coding hold true. In early stages, the AI market evolves in deployment, tools, and policies. The Large Language Model (LLM) is a notable application. This document lists 29 considerations for choosing between a vendor's Public LLM or a private enterprise LLM deployment.
On-Premise Deployment
Private GenAI and LLMs are that much more secure when deployed on-premise within a data center or secure facility. Banks, Insurance companies, and governments who all require the highest levels of security can deploy a Private GenAI application, as Interplay's GenAI capabilities are able to be hosted completely locally without any real-time connection to a cloud or shared environment.
Custom GenAI for Your Unique Business
Every business is unique in some way. Some businesses are very unique in how they interact with customers, process orders, or present thier products. Relying on a generalized GPT solution doesn't work for these unique companies. Every company has a unique and specific set of talking points, policies, and areas of emphasis that they want to communicate to their customers. A Private GenAI solution, trained on company-specific data, is the best way to ensure that these unique points are communicated correctly to the customer.
Integrated Private GenAI
A Private GenAI can be integrated directly into other ERP backoffice systems much more readily and easily than shared GenAI applications. A private GenAI can be tied and trained to a company's product database, scheduling system, customer records, and loyalty programs for the ultimate smooth customer-facing interactions.