We specialize in fine-tuning open-source Large Language Models (LLaMA 3, Mistral, Gemma, Phi-3, BLOOM, Falcon, etc.) using LoRA, QLoRA, PEFT, Instruction Tuning, and RLHF to deliver highly accurate, cost-efficient, and domain-optimized AI solutions.
LLM Fine-Tuning is the process of taking a pre-trained large language model and further training it on a smaller, task-specific or domain-specific dataset to improve accuracy, reduce hallucinations, align with brand voice, and optimize performance for real-world business applications.
Fine-tune billion-parameter models on consumer GPUs with minimal VRAM.
Healthcare, Legal, Finance, Customer Support, Technical Documentation.
Your data never leaves your environment. Full model ownership.
Up to 90% cheaper and 10x faster than training from scratch.
Handle increasing workloads with optimized fine-tuning pipelines.
Get expert guidance for model selection, dataset prep, and deployment.
Fine-tune on your support tickets to reduce response time by 80%.
Train models on contracts, regulations, and case law for accurate analysis.
Fine-tune on EHRs, research papers, and clinical guidelines.
Create coding assistants fine-tuned on your codebase and standards.
Build models to analyze market trends, forecasts, and financial reports.
Generate or summarize technical manuals and documentation automatically.