Synthetic data platform to streamline dataset generation for custom LLM training
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.
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.
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:
Sign up here to generate your first dataset. Or book a call with us for help in getting started.