FinetuneDB

FinetuneDB is an AI fine-tuning platform designed to make it easier for businesses to create and manage datasets for fine-tuning large language models (LLMs). The platform offers a range of features that make it possible to improve LLM performance, including:

• Dataset creation and management: Users can easily create and manage datasets to fine-tune LLMs for specific use cases. This includes building proprietary datasets to differentiate model performance from competitors and collaborating with team members on dataset creation.
• Model evaluation: FinetuneDB allows users to evaluate model performance with both human and AI feedback. This includes benchmarking outputs, measuring model metrics such as speed, quality scores, and token usage, and using Copilot to automate evaluations and model improvements.
• Data collection: The platform enables users to collect production data to further fine-tune their models. Features like logging production data, refining searches with advanced filters, and visualizing language chains provide comprehensive insights for ongoing model improvement.
• Prompt optimization: FinetuneDB includes a prompt playground for creating, managing, and optimizing prompts to ensure precise and relevant interactions between users and AI models. Users can track and refine prompt versions effortlessly.
• Model comparison: The platform allows users to compare different foundation models and fine-tuned versions to improve prompt performance and save tokens.

FinetuneDB is designed with security and ease of integration in mind. Key features include:

• End-to-end encryption: Data is encrypted in transit and at rest, ensuring security throughout the data lifecycle.
• Strict permissions enforcement: Users can manage roles and permissions, with changes reflected immediately in the platform.
• SOC 2 compliance: FinetuneDB is actively working towards achieving SOC 2 compliance for enhanced security and reliability.

FinetuneDB offers a range of developer tools, including:

• SDKs for Python and JavaScript/TypeScript: Typed SDKs allow for easy integration into production applications, capturing production data and sending it asynchronously to FinetuneDB.
• Web API: Developers have full control over data ingestion and can build custom integrations using the FinetuneDB API.
• Langchain integration: The platform integrates with Langchain for easy execution traces within applications.
• OpenAI SDK compatibility: FinetuneDB's SDK extends the OpenAI SDK for quick and seamless implementation.

FinetuneDB aims to make fine-tuning LLMs more accessible and efficient, enabling businesses to build and deploy more effective AI solutions.