Private LLM Consulting Services

A private large language model (LLM) operates within a controlled environment where an organisation retains oversight over access, data management, and deployment. This setup enables the support of internal AI utilities by leveraging either the company’s own infrastructure or a dedicated hosted environment.

Applications of private LLMs

• Internal knowledge retrieval: Facilitates employee access to information contained in corporate documents, operational procedures, and technical manuals, ensuring that responses strictly adhere to existing permission frameworks.
• Document processing: Streamlines the summarisation of reports, extraction of key data, and drafting of documents from internal sources, while recognising that human oversight remains essential where errors could impact critical business decisions.
• Software development: Assists with code explanation, documentation creation, and development tasks, maintaining the confidentiality of source code within approved secure environments.

Deployment strategies and considerations

• Location and governance: On-premise implementation offers direct control over hardware and network access. Conversely, dedicated hosting alleviates the burden of physical infrastructure management but necessitates verification of provider access protocols and data residency.
• Expenditure and capability: Operational costs encompass hardware, energy, hosting, and maintenance. The necessary capacity is determined by model size, document length, and the number of concurrent users.
• Performance and efficacy: Compact models typically demand fewer resources. It is advisable to evaluate them against representative tasks to ascertain whether their precision and latency meet operational needs.
• Security and upkeep: Private deployment alone does not ensure security. Continuous attention must be paid to access controls, logging, updates, and the protection of stored conversations.

How NobleConsul can assist

• NobleConsul can assist in evaluating use cases, comparing deployment alternatives, and testing models against specific business requirements.
• NobleConsul also offers the provisioning of server hardware for private LLM deployments, selecting GPU, memory, storage, and networking configurations based on workload demands and budget constraints.
• Further support may include integration with internal systems and the planning of ongoing operations, maintenance, and capacity enhancements.