Most service LLMs are offered as shared services on public clouds. This doesn't provide security, and tends toward data leakage, as all interactions are then added to the public cloud instance. Iterate Generate can run in a private cloud within your on-premise data center. This configuration maximizes security and conforms ot all of your current IT regulations, including firewall, access rights, and data management policies.

Internal proprietary data sources are the key advantage to training an enterprise RAG and LLM. Generate allows for easy connections to common file and database systems. Resultant LLM interactions will utilize connected data as grounded context for generations, while staying completely confidential within the organization.

Data sources can encompass a wide array of multi-modal documentation, including text, images, data tables, charts, etc. in almost all common document formats. Documents can be large, including +300 page contracts or large bodies of technial documentation.

Our Service Pilot can bring efficiency to support teams, customer relations, and research analysts with queries to multiple documents across multiple databases. This is all done without a single line of code: no advanced queries are required: all can be done with straightforward prompt engineering, allowing any advanced business user full leverage to the private LLM.

Iterate Generate has an advanced document search to ingest multiple documents, and then perform complex smart searches based on plain language prompts. You can ask for comprehensive summaries, differences between documents, unique terms among documents, and shared terminology or phrases.

Text can be rewritten, translated, or apply custom rules to your textual data, based on the material that has been uploaded to the private LLM. Data can be augmented and extended within the tight parameters of the organization's data guardrails and specific term definitions.

For example: the word "sustainability" can mean very different things to a university, an oil company, or a farming commune. Generate can be fine-tuned to match that specific nuanced definition for an organization.

Generate is deployed at major call centers globally. With the ability to instantly analyse inbound messages, prepare summaries, and call up any relevant customer records and corporate policies, Generate can prepare a specific response. This response can even be tailored to reflect the company's own brand style: informal, formal, happy, etc.

Generate is deployable locally to the organization and can be accessed by hundreds of CSRs simultaneously.

Generate accelerates staff training: when the LLM is trained on all relevant technical material, training documents, and organizational policies, Generate can serve as an instant tutor and reference guide for any staff member or technician.

Generate is able to answer common language questions across any number of languages, accelerating globalization and easing the operational costs of internationalization and localization.

Generate can consume extremely large documents (over 300 pages) and has the ability to leverage RAG methods to produce summaries, document comparisons, all with specific footnoted references to any source document included in the generated answer.

This large document reference source capability positions the application as an excelent tool for business analyst teams. Generate can source:

• Text - Vendor neutral with MSWord, PDFs, Google Docs, etc.
• Charts and graphs - extract numerical source data
• Formulae - mathematical equations, actuary tables, LaTeX formats

Generate and the private LLM capabilities can be hosted locally with secure connections and direct integrations with existing legacy systems.

Hosted within your data center, Generate can be source trained directly with:

• ERP order management systems and inventory control systems
• Supply chain invoices, bills of lading, and outstanding financial accounts
• Customer records, previous purchases, loyalty statuses
• Current product information including ingredients, sustainability sources, and pricing