Generative AI

LLM Fine-Tuning & Custom Model Development

A model that sounds like your brand, knows your domain and runs at a fraction of the cost of a generic LLM.

Solution
LLM Fine-Tuning
Timeline
3–6 weeks for a focused SFT, 8–16 weeks for full DPO/RLHF + deployment pipeline.
Built On
OpenAI fine-tuning API · Hugging Face Transformers + TRL · Llama 3 / Mistral / Qwen / DeepSeek · vLLM / TGI for inference
Quick Answer

What is Dictode's LLM Fine-Tuning & Custom Model Development service?

A model that sounds like your brand, knows your domain and runs at a fraction of the cost of a generic LLM.Fine-tune GPT-4, Llama, Mistral and Qwen models on your domain-specific data — for higher accuracy, lower latency, predictable costs and on-premise deployment when you need it. Engagements include discovery, architecture, development, testing, deployment, observability and ongoing optimization. Typical timeline: 3–6 weeks for a focused SFT, 8–16 weeks for full DPO/RLHF + deployment pipeline. Available worldwide in 60+ countries, billed in any major currency, with 24/7 follow-the-sun support.

Free discovery call· proposal back in 24 hours
3–6 weeks for a focused SFT, 8–16 weeks for full DPO/RLHF + deployment pipeline.
Worldwide delivery· 60+ countries served
Who It's For

Who Needs LLM Fine-Tuning & Custom Model Development

If any of these sound like your team, this is the right service.

Enterprises with high LLM bills and repetitive tasks
Domain-specific products (legal, medical, financial)
Brands wanting consistent voice/tone in AI outputs
Regulated industries needing on-premise inference
High-volume use cases where latency matters
Capabilities

What You Get With LLM Fine-Tuning & Custom Model Development

Supervised fine-tuning (SFT) on labeled data

DPO / RLHF for preference alignment

LoRA / QLoRA for parameter-efficient tuning

On-premise / private-cloud deployment

Quantization and inference optimization

A/B evaluation against base model

Tech Stack

Built On Production-Hardened Tech

The exact tooling we use to deliver LLM Fine-Tuning & Custom Model Development — picked for stability, not novelty.

OpenAI fine-tuning APIHugging Face Transformers + TRLLlama 3 / Mistral / Qwen / DeepSeekvLLM / TGI for inferenceModal / Together / Replicate / RunPodWeights & Biases for tracking
How We Work

The LLM Fine-Tuning Engagement Process

From first conversation to live production, here is how a Dictode LLM Fine-Tuning & Custom Model Development project runs.

1

Discovery call

30-minute free call to understand your goals, current systems and constraints. No sales pitch.

2

Proposal in 24h

Written scope, milestones, timeline and pricing — fixed-price or T&M, your choice.

3

Architecture + design

We share the architecture, prompts, data flow and design system before writing production code.

4

Iterative delivery

Weekly working demos. Production-ready code from sprint one, not just at the end.

5

Launch + observability

Cost monitoring, error tracking, evals and alerts in place from day one of production.

6

Ongoing optimization

We stay with you — tuning prompts, adding capabilities, optimizing costs as usage grows.

FAQ — LLM Fine-Tuning

LLM Fine-Tuning & Custom Model Development — Frequently Asked Questions

What is included in Dictode's LLM Fine-Tuning & Custom Model Development service?

Fine-tune GPT-4, Llama, Mistral and Qwen models on your domain-specific data — for higher accuracy, lower latency, predictable costs and on-premise deployment when you need it. Engagements include discovery, architecture, development, testing, deployment, observability and ongoing optimization.

How long does a LLM Fine-Tuning & Custom Model Development engagement take?

3–6 weeks for a focused SFT, 8–16 weeks for full DPO/RLHF + deployment pipeline. You will get a transparent proposal with milestones and pricing within 24 hours of your discovery call.

Which technologies does Dictode use for LLM Fine-Tuning & Custom Model Development?

Our LLM Fine-Tuning & Custom Model Development stack includes OpenAI fine-tuning API, Hugging Face Transformers + TRL, Llama 3 / Mistral / Qwen / DeepSeek, vLLM / TGI for inference, Modal / Together / Replicate / RunPod, Weights & Biases for tracking. We pick the right tool for your use case, not whatever is trending.

Does Dictode offer LLM Fine-Tuning & Custom Model Development services globally?

Yes. Dictode delivers LLM Fine-Tuning & Custom Model Development engagements in 60+ countries across North America, Europe, the UK, the Middle East, Africa, APAC, ANZ, India and Latin America. We bill in any major currency and run 24/7 follow-the-sun support.

What does LLM Fine-Tuning & Custom Model Development cost?

Pricing depends on scope, integrations and the model / infrastructure you choose. We share a transparent fixed-price or T&M proposal within 24 hours of your discovery call — no hidden costs, no surprise invoices.

Can LLM Fine-Tuning & Custom Model Development integrate with our existing systems?

Yes. Our LLM Fine-Tuning & Custom Model Development engagements integrate with your existing CRM, ERP, helpdesk, knowledge base, databases, email, Slack, Teams, WhatsApp and 5,000+ apps via REST, GraphQL and Zapier / Make / n8n connectors.

Ready to ship LLM Fine-Tuning?

Free 30-minute discovery call. Written proposal in 24 hours. Production-grade code, every time.

Get a Free Demo