AI and Automation
Custom AI Model Development, Fine-Tuning and Private LLMs
We build custom AI models for your business: fine-tuning and training on your own data, and private AI that runs on infrastructure you control.
- A model tuned to your domain and language
- Accuracy measured before launch
- Private AI on infrastructure you control
- A team trained to run and retrain it
Overview
A general AI model knows a little about everything and nothing about your business. It has never seen your documents, your terminology or the decisions your experts make every day. For many tasks, retrieval over your own content is enough to close that gap. For others, the model itself has to change, and that is the job of fine-tuning and training.
Fine-tuning pays off when it is measured. Agree the test set first, then compare the tuned model with the general one on the same questions.
Capabilities
What we build and deliver
LLM fine-tuning
Fine-tuning of open and commercial models on your examples, with a measured before and after comparison.
AI model training
Training of task-specific models for classification, extraction, ranking and prediction on your own data.
Private LLM deployment
A private AI model served on-premise or in your own cloud, reached through an API only you control.
Training data preparation
Collection, cleaning, labeling and review of the examples a model learns from, with sensitive data handled properly.
Evaluation
Test sets and scoring built around your use case, so quality is known before launch and tracked after it.
GPU infrastructure
Sizing, building and running the GPU servers and software stack that training and serving need.
Small language models
Compact models tuned for one job, for lower cost, faster answers and deployment on modest hardware.
Monitoring and retraining
Tracking of quality and drift in production, with a repeatable pipeline to retrain as your data changes.
AI training for teams
Practical sessions for your engineers and operators on running, evaluating and improving the model.
Why Dude Lemon
Why teams choose us for AI model development
We have done the full job, from the hardware up: a GPU cluster, a custom model trained and deployed on it, and a private model API that we develop and maintain. Most firms have worked on one layer. We can take responsibility for all of them or for the one you need.
Fine-tuning, training and private LLMs explained
Fine-tuning starts from an existing model and continues its training on your examples, so it learns your terminology, formats and judgment. It needs far less data and compute than training from scratch, and it suits tasks such as classification, extraction, drafting in a house style and answering in a specialist field. A small language model that has been fine-tuned often matches a much larger general model on one narrow job, at a fraction of the running cost.
How we work
A clear path from raw data to a model in production.
Use case and baseline
We define the task and the success measure, and test a general model with retrieval first to set the baseline.
.01Data
We gather and prepare training examples, and set aside a test set that the model never sees during training.
.02Train and evaluate
We fine-tune or train the model and score it against the baseline on the agreed test set.
.03Deploy
We serve the model in your cloud or on your own hardware, behind your access controls, with monitoring in place.
.04Operate and retrain
We track quality in production, retrain when your data changes, and train your team to take it over.
.05LLM fine-tuning, LoRA and adapter tuning, Open-weight models, PyTorch, GPU clusters, Private model APIs, Evaluation sets, On-premise and cloud
Engagement and pricing
Custom pricing, based on project scope.
Every project is scoped individually. After a short discovery call you receive a clear written estimate, with no obligation. The engagement types below show how we usually structure the work.
Feasibility and baseline
Find out whether a custom model is worth building.
- Use case and data review
- Baseline with a general model
- Written recommendation
Fine-tuned model
A model tuned on your data and deployed.
- Training data preparation
- Fine-tuning and evaluation
- Deployment and monitoring
- Handover and team training
Private AI platform
Your own models on infrastructure you control.
- On-premise or private cloud
- GPU infrastructure
- Private model API
- Ongoing operation and retraining
AI Model Development FAQ
Frequently asked questions.
Anything we have not answered here, ask us directly. A senior engineer replies.
Contact usWhat is LLM fine-tuning?
Fine-tuning continues the training of an existing language model on your own examples, so it learns your terminology, formats and way of deciding. It needs much less data and compute than training a model from scratch.
Do we need fine-tuning, or is retrieval enough?
Often retrieval is enough: a general model given the right passages from your content answers accurately. Fine-tuning earns its cost when the task needs a consistent style or format, specialist judgment, a smaller and cheaper model, or data that cannot be sent to a hosted service. We test the simpler route first and show you the comparison.
What is a private LLM?
A private LLM is a language model that runs on infrastructure you control, on-premise or in your own cloud account, so prompts, documents and outputs stay inside your boundary. We deploy and operate private AI for organizations that cannot use shared hosted models for some or all of their data.
How much data do we need to train an AI model?
It depends on the task. Fine-tuning for a narrow job can work with hundreds to a few thousand good examples. We review your data during the feasibility stage and tell you whether it is enough before any training is paid for.
Can you run a model on our own hardware?
Yes. We size and set up GPU servers, deploy the model, and expose it through a private API. We have designed and commissioned an on-premise GPU cluster for an enterprise client and run a custom model on it.
Is our training data kept private?
Yes. We agree where data is stored and processed before work starts, limit access to the engineers on the project, and can carry out all training inside your own environment.
Do you offer AI training for our staff?
Yes. We run practical sessions for engineers and operators on running, evaluating and improving the model, so the capability stays with your team.
Let us scope your ai model development project.
Book a free discovery call. You will hear from a senior engineer, not a sales rep, with a clear view of scope, timeline, and cost within two business days.