Platform Features
Everything you need to
fine-tune AI
From data generation to deployment, ANRAK provides a complete platform for training and deploying custom language models.
Data Management
Synthetic Data Generation
Generate high-quality training data from your documents, FAQs, and examples using GPT-4 and Claude.
Dataset Validation
Automatic deduplication, format validation, and quality checks for your training data.
Multiple Formats
Support for JSONL, CSV, Parquet, and custom formats. Easy import and export.
Training Methods
Supervised Fine-Tuning (SFT)
Traditional instruction tuning with input-output pairs. Best for task-specific models.
Direct Preference Optimization (DPO)
Train models to prefer certain outputs over others without reward modeling.
Reinforcement Learning (RL)
Advanced training with reward signals for complex behavior optimization.
RLHF
Reinforcement Learning from Human Feedback for alignment and safety.
Neurosymbolic Verification
Rule-Based Validation
Define custom rules to validate AI outputs. Essential for regulated industries.
Knowledge Base Verification
Cross-reference outputs against your knowledge base for factual accuracy.
AI-Assisted Rule Extraction
Automatically extract validation rules from your existing data and documentation.
Deployment
One-Click Deploy
Deploy trained models to production with a single click. Automatic scaling included.
API Endpoints
RESTful APIs for inference. Compatible with OpenAI client libraries.
Model Export
Download LoRA adapters for deployment on your own infrastructure.
Supported Models
Fine-tune industry-leading open models
Choose from the best open-source language models. All optimized for LoRA fine-tuning with minimal compute requirements.