How to Fine-Tune AI Models
Step-by-step advanced-level guide covering 5 essential steps for how to fine-tune ai models. Includes tips for openai-api and together-ai and common troubleshooting solutions.
In This Article
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In This Guide
- 1 Prepare data
- 2 Choose method
- 3 Select platform
- 4 Train
- 5 Evaluate
Prepare data
Create high-quality training examples. This step covers prepare data, an essential part of the how to fine-tune ai models process.
Choose method
Full fine-tune, LoRA, or RLHF. This step covers choose method, an essential part of the how to fine-tune ai models process.
Select platform
OpenAI, Together, or local training. This step covers select platform, an essential part of the how to fine-tune ai models process.
Train
Run training with your data. This step covers train, an essential part of the how to fine-tune ai models process.
Evaluate
Test on held-out examples. This step covers evaluate, an essential part of the how to fine-tune ai models process.
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Pro Tips
- Quality over quantity for data
- LoRA for efficient training
- Start with few examples
- Evaluate thoroughly
Tools Mentioned in This Guide
OpenAI API
OpenAI API is a ai assistant tool offering GPT models, DALL-E, Whisper. Built for Developers and Enterprises, it provides with a free tier available. Access GPT models and other OpenAI capabilities via API.
Ai assistantTogether AI
Together AI is a ai assistant tool offering Fast inference, Fine-tuning, Multiple models. Built for Developers and Enterprises, it provides with a free tier available. Platform for running and fine-tuning open-source AI models.
Ai assistantHugging Face
Hugging Face is a ai assistant tool offering Model hub, Datasets, Spaces. Built for Developers and Researchers, it provides with a free tier available. Platform for sharing and deploying AI models with community focus.
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