FinetuneDB is an AI fine-tuning platform that helps teams create custom LLMs by training models with their own data.
FinetuneDB is an AI fine-tuning platform designed to enable teams to build custom Large Language Models (LLMs) using their proprietary data. It streamlines the entire workflow from dataset creation and fine-tuning to deployment and ongoing evaluation, all within a secure platform. The platform aims to improve model performance, reduce costs, and accelerate the development of specialized AI models. The platform offers features for collaborative dataset building, model versioning, and performance evaluation using both human and AI feedback. It includes a Copilot for automated evaluations and improvements, and tools to track AI metrics like speed, quality scores, and token usage. FinetuneDB also provides capabilities for collecting production data, visualizing language chains, and creating prompts collaboratively. FinetuneDB integrates with existing development workflows through an OpenAI SDK-compatible extension, Python/JS/TS SDKs, a Web API, and Langchain integration. It emphasizes security with encrypted data in transit and at rest, strict permission enforcement, and active work towards SOC 2 compliance. Users bring their own API keys for AI providers like OpenAI, managing those costs separately.
Integrations: OpenAI SDK (compatible extension), Langchain, vLLM (custom integrations), Python SDK, JS/TS SDK
Platforms: Web
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