TL;DR: Upload your files & generate a high-quality dataset in minutes. Give it a go!
Llama3.1 405B has just dropped, and it's already outperforming GPT-4o. As we assist our customers in fine-tuning domain-specific LLMs, we see firsthand that it's no small feat. It requires an extensive, diverse, and superior-quality dataset, and multiple iterations of training to get it right.
❌ Creating high-quality datasets from raw data is messy!
Identifying the right data in the knowledge base is a manual, challenging process.
Data cleaning and filtering takes significant effort and man-hours, and is error-prone.
Costs of training & evals skyrocket with bad datasets requiring multiple iterations of training.
✅ We're making it easy and efficient for businesses.
FiddleCube’s data platform converts your data corpus into a high-quality fine-tuning dataset. Generate 1000s of rows of multi-turn chat, function-calling, and QnAs. Additionally, augment your datasets synthetically from unstructured data to improve your model's performance.
Our users have used us to:
- Save >2 months in their data cleaning, preparation, generation, and quality check cycle.
- Generate a high-quality training dataset that accurately resembles their production data without PII.
- Generate a golden dataset for testing & benchmarking their AI-powered apps.
- Generate gender diversity, safety & guard railing dataset.
- Customize the tone of their responses instead of a standard GPT-like tone.
- Data generation - A simple & clean UI to generate datasets from PDF, TXT, and data sources to train your model.
- Dataset Management - Editing, versioning, RBAC, and synthetic data augmentation to create self-correcting datasets.
- Diagnosing and improving underperforming queries with regression testing & detailed data diagnostic tools.
- Use production logs and feedback to auto-generate datasets.
🙋♂️ Let's Take Your Data to Production and Get You Started
Sign up here to generate your first dataset. Or book a call with us for help in getting started.