Question 1

What is LLM Fine-Tuning & Training Data?

Accepted Answer

We adapt models to your language, tone and tasks — and distil them into smaller models that are cheaper and faster to run, backed by a rigorous evaluation harness. Our data generation platform produces training-ready, quality-checked datasets for fine-tuning and evaluation.

Question 2

What does Lumino deliver as part of LLM Fine-Tuning & Training Data?

Accepted Answer

Supervised fine-tuning (SFT), LoRA & QLoRA adapters, Full-parameter fine-tuning, DPO / ORPO preference tuning, Distillation to small models, Custom evaluation harness, Domain adaptation: support, legal, healthcare and Indic & multilingual models.

Question 3

Which technologies do you use for LLM Fine-Tuning & Training Data?

Accepted Answer

Typical tools include Hugging Face TRL, Axolotl, Unsloth, DeepSpeed, FSDP, PyTorch, JSONL, ChatML, ShareGPT and Argilla — we choose the stack after reviewing your data, systems and constraints.

Question 4

What are common use cases for LLM Fine-Tuning & Training Data?

Accepted Answer

Domain assistants, Small fast models, Multilingual voice and text, Fine-tuning datasets, Evaluation sets and Low-resource languages. See our case studies for examples delivered in production.

Question 5

Do you offer LLM Fine-Tuning & Training Data in USA, Canada, Singapore, UAE and India?

Accepted Answer

Yes. Lumino delivers ai infrastructure services to clients in USA, Canada, Singapore, UAE and India — as a fixed-scope project, time & materials, or a dedicated team.