# LLM Fine-Tuning

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/llm-fine-tuning

LLM fine-tuning is the process of further training a pre-trained large language model on a smaller, task-specific dataset to improve its performance on particular domains or behaviors. Machine learning engineers use fine-tuning to customize models for specialized applications, such as legal document analysis or customer support, without training a model from scratch.

## Roles that use LLM Fine-Tuning

- [Product Manager](https://career.thegoodapps.co/occupations/product-manager) — 1
- [Software Engineer](https://career.thegoodapps.co/occupations/software-engineer) — 1

Related skills: [Prompt Engineering](https://career.thegoodapps.co/skills/prompt-engineering), [PyTorch](https://career.thegoodapps.co/skills/pytorch), [Hugging Face Transformers](https://career.thegoodapps.co/skills/hugging-face-transformers), [LLMs (Large Language Models)](https://career.thegoodapps.co/skills/llms-large-language-models), [Multimodal Prompts](https://career.thegoodapps.co/skills/multimodal-prompts), [Custom GPTs / GPT Builder](https://career.thegoodapps.co/skills/custom-gpts-gpt-builder), [LLM Application](https://career.thegoodapps.co/skills/llm-application), [Token Optimization](https://career.thegoodapps.co/skills/token-optimization), [Transfer Learning](https://career.thegoodapps.co/skills/transfer-learning), [Model Evaluation](https://career.thegoodapps.co/skills/model-evaluation)

## Open roles requiring LLM Fine-Tuning (2)

- [Principal Product Manager, AI Platform](https://career.thegoodapps.co/jobs/82cef6dc-fed0-4600-b745-d1b70cd4756d/principal-product-manager-ai-platform-at-angi) at [Angi](https://career.thegoodapps.co/organizations/angi) — Full-time, Remote - United States, $190,000 – $280,000
- [Senior AI Engineer](https://career.thegoodapps.co/jobs/72dd725e-99a1-4bce-8cfb-2d8d4b0ad6f9/senior-ai-engineer-at-talkspace) at [Talkspace](https://career.thegoodapps.co/organizations/talkspace) — Full-time, Remote, $169,000 – $200,000