SI AI-Powered Dataset Creator for LLM Training

Created by team SI Copilot on November 30, 2024

SI Copilot is a powerful, AI-driven tool that simplifies the process of creating high-quality datasets tailored to your unique requirements. Our model allows you to use your own data to design and build a dataset optimized for training and fine-tuning your large language model (LLM). Whether you're focusing on specialized topics, industry-specific information, or user-specific insights, SI Copilot provides an intuitive, hands-free approach to data generation, leveraging AI to refine and structure your input data. This empowers businesses, researchers, and developers to maximize the performance of their LLMs with relevant, high-quality training data customized for optimal results.

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"I personally struggled a lot with gathering datasets for fine-tuning of LLMs and this project is a great use case for google/gemma-2-27b-it, great job team! It's really convenient that it automatically identifies which synthetic data to generate based on existing data. My suggestions for next steps would be: 1) Add processing of LLM non-popular languages (e.g. Japanese e.t.c.) - fine-tuning for this languages is a big pain and to create those types of datasets you need a model that can process and generate text on this language. Same goes for programming languages. 2) Make dataset schema creation more flexible and straight-forward - it's really hard to categorise dataset schemas for all sorts of use cases. So i'd suggest coming up with a more generic way for setting schema up."