LLM Fine-Tuning & Custom AI Models
Adapt pre-trained AI models to your domain, your data, and your standards - so the AI understands your business the way your best employee does.
Generic LLMs are trained on the internet, not your industry. Fine-tuning adapts a pre-trained model on your proprietary data so it understands your terminology, tone, document formats, and knowledge base - delivering dramatically better outputs than prompting alone ever can.
Key deliverables
Domain-specific LLM fine-tuning
Adapting pre-trained models on proprietary datasets so the AI understands your industry terminology, writing style, tone, and knowledge base with precision.
Custom speech recognition with Whisper
Fine-tuning OpenAI Whisper on domain-specific audio - medical dictations, legal proceedings, regional accents - for significantly higher transcription accuracy.
AI image generation with Flux
Training and fine-tuning Flux models on branded visual assets, product images, or style references to produce on-brand generative imagery at scale.
Model evaluation, optimization & deployment
Rigorous testing, quantization, and inference optimization before deploying fine-tuned models via API or edge environments - built for production, not demos.
Open-source & enterprise model customization
Working with Llama, Mistral, Qwen, and other open-source LLMs as well as GPT-family models - giving you flexibility on cost, data privacy, and performance.
Technologies we use
OpenAI GPT models
Fine-tuning via OpenAI API for chat, instruction-following, and domain-specific text generation tasks with enterprise-grade reliability.
Whisper
OpenAI speech recognition model, fine-tuned for specialized audio domains requiring high accuracy under difficult acoustic conditions.
Flux
State-of-the-art image generation model fine-tuned via LoRA or Dreambooth-style methods for custom visual styles and branded content.
Hugging Face & PEFT
Ecosystem for loading, fine-tuning, and deploying open-source models with parameter-efficient methods - LoRA, QLoRA, prefix tuning.
Python + Cloud GPU (AWS/GCP)
Training orchestration, dataset management, and scalable inference serving across GPU-accelerated cloud infrastructure.
Who this is for
Legal and professional services firms wanting AI that understands their document formats and vocabulary; healthcare providers needing accurate clinical transcription or documentation assistants; media and creative agencies requiring on-brand AI image generation; e-commerce platforms building product description generators trained on their catalog; and any enterprise with a large proprietary knowledge base they want baked into an AI model.
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