Offer

AI Model Tuning

Custom-tune AI models for your specific use case — using the latest parameter-efficient techniques to get enterprise results at startup costs.

Make AI Actually Understand Your Business

Off-the-shelf AI models are impressive, but they don't know your terminology, your edge cases, or your standards. Fine-tuning bridges that gap — and thanks to breakthroughs like TinyLoRA and RL-based training, it's now 100–1,000x cheaper than it was even six months ago.

What You Get

Assessment & Strategy (Day 1)

  • Evaluate your use case for fine-tuning suitability
  • Identify the right base model (open-source vs. proprietary)
  • Design reward signals and evaluation criteria
  • Estimate cost, timeline, and expected improvement

Model Tuning & Validation (Days 2–5)

  • Prepare training data from your existing workflows
  • Apply the most efficient tuning approach (RL, LoRA, TinyLoRA, or full fine-tune — based on your use case)
  • Benchmark against base model on your real data
  • Iterate until quality targets are met

Delivery

  • Production-ready model adapter (hosted or self-hosted)
  • Evaluation report with before/after metrics
  • Documentation for your team to maintain and update
  • Runbook for re-tuning as your data evolves

Ideal For

  • Customer support teams — tune models to match your tone, policies, and product knowledge
  • Legal & compliance — teach models your regulatory framework and document standards
  • Data extraction — custom models that understand your specific document formats
  • Domain-specific reasoning — healthcare, finance, manufacturing terminology and logic

Why This Approach

Most AI vendors will quote you $50K+ for a "custom model." They're using outdated techniques and oversized teams. Modern parameter-efficient methods mean:

  • 26 bytes can teach an 8B model new reasoning capabilities
  • Single GPU is enough for most business fine-tuning
  • Hours, not weeks from experiment to production
  • Per-task adapters that can run concurrently without extra infrastructure

The result: enterprise-grade customization at a fraction of the traditional cost.

Pricing

$4,500 — 1 week delivery

Includes assessment, tuning, validation, and deployment. Additional adapters for different use cases: $2,000 each.

For ongoing tuning and optimization, consider our Fractional AI Lead retainer.

GTA Labs — AI consulting that ships.