LLM Fine-Tuning with Synthetic Data for Healthcare
Life Sciences & Healthcare — Off-the-shelf models did not understand the domain's terminology, and too little labelled data existed to fine-tune one.…
Client: Medical Documentation Company. Sector: Life Sciences & Healthcare.
The challenge: Off-the-shelf models did not understand the domain's terminology, and too little labelled data existed to fine-tune one.
What we built: Created a synthetic instruction dataset from the client's guidelines and had people review it, fine-tuned a compact open model using LoRA, and required every release to pass an evaluation harness run against a fixed test set.
Tech used: LoRA / QLoRA, Synthetic Data Generation, Evaluation Harness, Hugging Face.
- Accuracy on Task: +27%
- Examples for Training: 40K+
- Size of Model: 8B
- Cost to Serve: -70%