Perimattic LLM Fine-Tuning Services

Perimattic's LLM Fine-Tuning Services help organizations build customized generative AI solutions by adapting foundation models to their unique business data and use cases. We fine-tune open-source and commercial large language models to improve response quality, domain knowledge, and task-specific performance while maintaining scalability and security on AWS.

Our AI engineers work with organizations across industries to develop production-ready LLMs for customer support, document processing, legal analysis, healthcare, finance, software development, enterprise search, and workflow automation. We leverage Amazon SageMaker, Amazon Bedrock, Hugging Face, LoRA, QLoRA, PEFT, and other modern fine-tuning techniques to deliver high-performing models with reduced training costs.

Our services include:

• LLM Strategy & Consulting
• Custom LLM Fine-Tuning
• Domain Adaptation
• Instruction Fine-Tuning
• Supervised Fine-Tuning (SFT)
• Parameter Efficient Fine-Tuning (PEFT)
• LoRA & QLoRA Implementation
• Dataset Preparation & Annotation
• Prompt Engineering
• RAG Integration
• Model Evaluation & Benchmarking
• LLM Performance Optimization
• Model Deployment on AWS
• Continuous Monitoring & Optimization
• Production Support

Perimattic enables organizations to deploy enterprise-grade generative AI applications faster while improving model accuracy, reducing inference costs, and ensuring scalable deployment on AWS infrastructure.