LLM Integration & Fine Tuning
Unlock the true potential of large language models with enterprise-grade integration and fine-tuning strategies. At Archisurance, we architect secure, efficient, and scalable LLM environments that align with your business goals – while preserving governance, performance, and adaptability.
From model selection to full-lifecycle management, our approach ensures LLMs are not only intelligent but also controllable, auditable, and deeply embedded within your digital ecosystem.
LLM Use Case Design & Scoping
We identify and prioritize LLM use cases, aligning them with data availability, business value, and compliance needs.
Model Selection & Adaptation
We support selecting and adapting foundation models via prompt tuning, LoRA, or fine-tuning - to suit your domain.
Fine-Tuning & RLHF Frameworks
We apply fine-tuning techniques like supervised training and reinforcement learning from human feedback (RLHF) to improve model performance and safety.
Vector Store & RAG Architectures
We design architectures for RAG systems with vector databases, embedding pipelines and real time document retrieval to enhance context and retrieval accuracy.
Secure Deployment & Inference
We build optimized inference pipelines with model serving, quantization, and cloud or on-premise deployment.
Monitoring & Guardrails
We implement monitoring, usage policies, and model guardrails to ensure safety, reliability, and regulatory alignment.