FinetuneDB is an AI fine-tuning platform that helps users create and manage datasets to fine-tune LLMs. It enables building custom AI models with proprietary data for better performance and lower cost.
FinetuneDB is an AI fine-tuning platform designed to streamline the creation and management of datasets for large language models (LLMs). It allows users to train AI models with their own data in minutes, leading to improved performance and reduced costs. The platform offers a collaborative editor for team-based dataset building, enabling the creation of proprietary fine-tuning datasets to differentiate model performance. FinetuneDB also includes features for evaluating model performance with both human and AI feedback, automated evaluations via Copilot, and tracking key metrics like speed, quality, and token usage. It supports collecting production data for ongoing model improvement, offers prompt management in its Studio, and integrates seamlessly with OpenAI SDK, Python/JS/TS SDKs, and Langchain. Security is a priority, with data encrypted in transit and at rest, strict permissions, and active work towards SOC 2 compliance.
Best used for
Ideal for developers and data scientists who need to fine-tune LLMs with custom data, evaluate model performance, and manage prompts collaboratively. Especially valuable for teams looking to build proprietary AI models and optimize their outputs for specific use cases.
Common actions
fine-tune LLMs
create custom AI models
manage AI datasets
evaluate model performance
log production data
AI dataset generationAI fine-tuning platformllm fine tuning dataset
Model-specific inference and fine-tuning pricing available on the website. Check finetunedb.com for current pricing.
FAQs
What is the difference between FinetuneDB's Basic and Pro plans?
The Basic plan is free and includes 1 user, 1 project/dataset, and 1,000 logs per month. The Pro plan, starting at $50/month, offers unlimited projects/datasets and logs, custom evaluation workflows, custom integrations, and 24-hour support response time.
Does FinetuneDB provide the LLMs for fine-tuning?
No, FinetuneDB requires you to bring your own API key from your AI provider (e.g., OpenAI). You manage and pay for usage with these providers separately, offering flexibility and direct access to your fine-tuned models.
What data formats are supported for uploading datasets?
FinetuneDB supports the JSONL format, which aligns with OpenAI specifications. This allows for easy integration and compatibility when preparing your data for fine-tuning custom LLMs on the platform.
Is my data secure with FinetuneDB?
Yes, your data is encrypted in transit using TLS 1.2+ and at rest with AES 256 encryption. It remains private to your account, is never shared with third parties, and is not used to train any models. FinetuneDB is also actively working towards SOC 2 compliance.
Can I use my own self-hosted models with FinetuneDB?
Yes, FinetuneDB's APIs and SDKs allow integration with models from various providers, including self-hosted models via vLLM. This provides flexibility for users who prefer to manage their own model infrastructure.
Shypd.aiThe largest open index of AI tools
