I will fine-tune an LLM on your data so it follows your format, style, and rules.
Use cases:
- Organizing content into the right category or label
- Cleaning and preparing data for training
- Improving model quality through testing and tuning
- Handling uneven datasets where some classes have less data
- Using advanced AI models for more complex tasks
- Combining models for better accuracy
- Building custom Python scripts for classification
- Turning the model into a usable app or API
- Measuring performance clearly and explaining results simply
What you get:
- Light dataset cleanup and training-ready formatting in CSV or JSONL
- Fine-tuned model delivery using OpenAI, LoRA/adapter, Hugging Face, Gemeni, Claude, Deepseek
- Simple before/after examples on your test prompts
- Run instructions and optional sample API script
- Structured JSON outputs when needed
Good for:
- Extraction to JSON from resumes, invoices, contracts, or emails
- Classification and tagging such as intent, category, priority, or job fit
- Scoring and ranking for leads, CVs, or support tickets
- Fixed-style rewriting and strict templates
- Policy-based replies, summaries, normalization, and compliance wording
Note: Message me before ordering.