Optimização de modelos
Optimização de modelos
A maioria dos programas de IA paga por precisão de que não precisa.
- Setor
- Serviços
- O que recebe
- 7
A nossa abordagem
Optimização de modelos
A model that is accurate enough at a tenth of the cost is usually a better business decision than a better model at ten times the cost. We measure what your task actually needs, then close the gap between that and what you are running.
Work ranges from fine tuning on your own labelled data and distilling a large model into a small one, through quantisation so it fits the hardware you already own, to prompt and retrieval improvements that lift accuracy without touching the weights at all.
Everything is measured against an evaluation set drawn from your real cases, so a change is only kept if it holds up on your data rather than on a public benchmark.
O que recebe
Cada projeto produz artefactos que lhe pertencem e que pode entregar a qualquer engenheiro ou auditor.
- Evaluation set built from your real cases
- Accuracy, latency and cost baseline for the current setup
- Fine tuning on your labelled data
- Distillation from a large model to a smaller one
- Quantisation to fit your existing hardware
- Retrieval and prompt improvements where they beat retraining
- Before and after report with the numbers that decided it
Resultados que deve esperar
Resultados que deve esperar
- Lower cost per inference at the same or better accuracy
- Response times that suit interactive use
- A smaller model that runs on hardware you already own
- An evaluation set you keep, so the next change is measurable too
Ferramentas e plataformas
Ferramentas e plataformas
- LoRA and QLoRA fine tuning
- Quantisation (GGUF, AWQ, GPTQ)
- Knowledge distillation
- vLLM and TensorRT
- ONNX Runtime
- Ragas and custom evaluation harnesses
Como trabalhamos
Como entregamos
Aplicamos processos e metodologias de desenvolvimento de boas práticas como base para construir soluções tecnológicas de ponta de forma estruturada e metódica.
- 01
Planning
We collect the relevant information from you and your stakeholders, including the constraints you have not written down.
- 02
Defining
We document the software needs, agree acceptance criteria, and write down what is out of scope.
- 03
Designing
System and interface documents are prepared against the specification: architecture, data model and stack.
- 04
Building
We implement in short cycles, with a working increment and a visible demonstration at the end of each.
- 05
Testing
We evaluate quality to find and fix defects: automated where possible, exploratory where judgement matters more.
- 06
Deployment
Release runs through an automated pipeline, checked for deployment issues, with a rehearsed rollback.
- 07
Maintenance
We keep the system current, secure and monitored, so you hear about problems from us first.
Perguntas
Perguntas frequentes
How much can costs actually come down?
It depends on the task, and we will not promise a number before measuring. For narrow extraction and classification work, a tuned small model replacing a frontier model commonly cuts cost by an order of magnitude.
Will accuracy drop?
That is what the evaluation set is for. We keep a change only if it holds up on your cases. A smaller model tuned on your data frequently beats a larger general one on a narrow task.
Can you optimise a model we already deployed?
Yes. We start by measuring the current setup, so any improvement is demonstrated against a baseline rather than asserted.
Serviços relacionados
Serviços relacionados
Indústrias relacionadas
Vamos falar
Vamos construir a sua próxima vantagem.
Diga-nos o que procura alcançar. Vai falar com um engenheiro, não com um call center, normalmente em poucos minutos.
Segunda a sexta, 08:00 às 18:00 Horário da África Oriental (GMT+3). Apoio urgente fora deste horário por acordo prévio.