Supercharge your LLMs with diverse and bias-minimized synthetic data, unlocking their full potential for accurate and fair AI language processing

LangSynth An advanced AI application that leverages LLMs to generate high-quality synthetic data for training and fine-tuning language models, ensuring scalable and diverse datasets for AI development.

LangSynth is an innovative tool designed to streamline the creation of synthetic data for training large language models (LLMs). Users can upload sample data, specify the topic and additional details, and select the preferred LLM to generate structured, high-quality synthetic datasets. The app outputs data in JSONL format, making it seamlessly compatible with OpenAI's GPT training pipeline.

OpenAI API (LLM-powered text generation)

Next.js (Frontend Development)

Supabase (Database & Storage)

✅ Customizable Data Generation – Upload sample data, define topics, and fine-tune output parameters. ✅ Multi-LLM Support – Choose from different language models to optimize dataset creation. ✅ Export-Ready Format – Generates JSONL files, ready for direct use on OpenAI's GPT training platform. ✅ Scalability & Automation – Simplifies dataset creation for AI model training, reducing manual effort.

LangSynth enables AI researchers, developers, and data scientists to efficiently generate structured datasets for various NLP applications.

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