5.01 · Deep-Tech
AI & Machine Learning
Custom AI models, trained for you and deployed by you. We provide engineers and domain-expert trainers to build, fine-tune and align models on your data, then hand over the keys.
Service docket
- Register no.
- 5.01 · 1 of 4 in desk
- Scope
- 4 items
- Deliverables
- 3
Stack named on this page
- LoRA
- QLoRA
- RLHF
01 · Overview
Overview
We run the managed service end to end: data preparation, fine-tuning, human-led alignment and deployment, resulting in a model you own.
Parameter-efficient fine-tuning (such as LoRA and QLoRA) adapts a foundation model to your industry terms, manuals and processes without very large compute costs.
02 · Scope
What we do
Custom model fine-tuning, human-feedback alignment and handover to your own infrastructure.
- 01Data architecture review and preparation
- 02Fine-tuning of foundation models (PEFT, LoRA, QLoRA)
- 03Reinforcement learning from human feedback (RLHF), with domain experts such as accountants and lawyers ranking outputs
- 04Secure handover of model weights into your AWS or Azure VPC, or on-premise hardware
03 · Deliverables
Deliverables
What you receive from the engagement.
OUT-01Deep-Tech
Trained model weights and configuration, owned by you
OUT-02Deep-Tech
Evaluation report against your test set
OUT-03Deep-Tech
Containerised deployment package and runbook
04 · Companies
Who it is for
- 01
Firms with proprietary data that cannot leave their environment
- 02
Companies that want a smaller, domain-specific model instead of a general API
05 · More in this desk
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Need a hand?
Email info
Discuss AI & Machine Learning with us
Tell us about your entity and what you need. We reply with a scope and fee proposal under a formal engagement letter.