Large language models can help with documentation, support requests, research, and internal knowledge access. However, general Custom LLM development & Fine-Tuning models do not understand company terminology or how decisions are made. To be useful, the model needs to be adapted to the way your organization actually works.
We build and fine-tune language models on internal documents, manuals, reports, communication records, workflows, and domain language. This makes responses accurate and relevant instead of generic. We also set access controls and review rules, so the system fits real internal processes.
We start by identifying what information the model should use and who will interact with it. We organize the source documents, train the model on this data, and test it with real examples from daily work. We adjust tone, terminology, and allowed response formats. We monitor performance and retrain if internal processes change.
The model fits the organization, not the other way around.
Model fine-tuning using internal knowledge sources
Retrieval-augmented generation (RAG) for fact-based answers
Multi-language output training
Response consistency and formatting rules
On-premise or private-cloud deployment
Access permissions and role-based usage
Internal user training and onboarding
Performance monitoring and ongoing improvement
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Our development process is the natural evolution of a software process to support today’s changing business environment. We believe that every project should be dealt with a fresh approach. Our industry knowledge allows us to deliver solutions that solve business challenges in 40+ industries. Working closely with you, we define your needs and devise effective automation tool concepts, knowing how to implement these concepts and integrate them according to your specific needs.
FortySeven Software Professionals is a leading European based software development, IT staffing, IT outsourcing and IT consulting company (certified with ISO 27001, ISO 9001). We help companies from F500 and startups to fulfill missing expertise for short-term and long-term projects.
