👋 Welcome to Factory
Factory simplifies the fine-tuning, training, and deployment of small language models (LLMs) at production-level quality. With built-in version control, dataset management, and monitoring tools, Factory ensures a seamless workflow from model fine-tuning to deployment.
💡 Key Features:
✅ Efficient Model Fine-Tuning – Train and optimize models with minimal compute.
✅ Seamless Deployment – Deploy models securely and monitor live data performance.
✅ Dataset Management – Handle large-scale datasets with automated pre-processing.
✅ Version Control & Experiment Tracking – Keep track of your models, hyperparameters, and performance benchmarks.
📌 Get Started with Factory
Quickstart Guide
Get started with Factory in minutes
Install Factory SDK
Set up Factory on your environment
Supported Models
Explore compatible LLMs
Deploying Models
Deploy models to production
📚 Learn More
Training & Fine-Tuning
Optimize LLMs for domain-specific tasks
Model Evaluation
Compare different model adapters and performance
Deployment
Secure, scalable AI model deployment
Monitoring
Track live model performance
What is Fine-Tuning and Why?
Fine-tuning allows you to customize an AI model's behavior, improve domain-specific knowledge, and optimize performance for targeted applications.
By fine-tuning a pre-trained model (e.g., Qwen2.5-0.5B, Llama-3, Phi-3.5), you can:
✅ Update Knowledge – Train your model with industry-specific data.
✅ Customize Behavior – Control tone, style, and response generation.
✅ Improve Accuracy – Enhance results for specialized use cases.
🚀 Next Steps
Creating an Account
Set up your Factory account to get started
Training Models
Learn how to train models efficiently
Evaluating Models
Benchmark and test your models
Dataset Management
Prepare and manage training datasets
Monitoring
Track model performance in production