Targeted AI Model Fine-Tuning for Your Use Case
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About this service
Summary
I deliver end-to-end AI model fine-tuning that turns general models into domain‑accurate, production‑ready systems—complete with evaluation suites, CI-driven deployment, and monitoring for reliability from day one. What sets this apart is a data‑centric, MLOps‑first approach—golden test sets, automated batch evals, and guardrails—so quality gains are measurable, regressions are gated, and integration into real workflows is seamless.
What's included
Fine‑Tuned Model Artifact
Production‑ready model checkpoint (e.g., LoRA/PEFT or full fine‑tune) exported in your preferred format, with versioning and rollback plan.
Training & Eval Datasets
Cleaned, deduplicated, and labeled datasets (train/val/test) with data sheets, sampling rationale, and licensing notes.
Prompt/Config Library
Versioned prompts, templates, decoding configs, and guardrails with guidance on when to use each.
Documentation Pack
Operational runbooks, architecture diagrams, environment setup, API docs (OpenAPI), and model cards with known limitations.
Example projects
Skills and tools
Industries
Artificial Intelligence
Computer Software