01Overview
We adapt large and small language models to customer-specific requirements through fine-tuning, LoRA, QLoRA, quantization, instruction tuning, domain adaptation, RAG, evaluation, prompt optimization and deployment. Our experience covers LLMs, SLMs, vision language models, and image, speech, embedding and reranking models.
02Private AI architecture
For sensitive information, the data layer, vector database, custom model and agent layer all run inside customer infrastructure and connect to enterprise applications, so customer data never goes to an external AI provider.
