Custom LLMs

Custom LLMs fine-tune foundational models (e.g., Llama 3, GPT-4) on proprietary, domain-specific data to achieve superior accuracy and relevance for specialized enterprise workflows.

Custom LLMs (Large Language Models) are a direct path to domain-specific AI: we adapt pre-trained foundation models (like Gemini or Claude) to your unique business requirements. This specialization is achieved through fine-tuning or RAG (Retrieval-Augmented Generation), training the model on your proprietary, high-quality datasets for enhanced performance. For a legal firm, this means training on 10,000 internal case files to generate compliant, context-aware summaries, significantly boosting document review efficiency. The goal is precision: generic models fail at niche tasks, but a custom model delivers superior accuracy, ensures data privacy, and provides a measurable competitive advantage.

https://www.ibm.com/topics/llm-customization