What is FinetuneDB?
FinetuneDB is a platform designed for creating and managing custom AI models. It offers tools to streamline the process, from building datasets, to training models, all the way to deploying and evaluating these customized LLMs. FinetuneDB allows collaborative dataset construction, and a robust model evaluation system with metrics for speed, quality, and token usage.
The platform integrates with existing development workflows via SDKs compatible with OpenAI, and also provides API options. FinetuneDB gives high importance for data safety, employing TLS 1.2+ and AES 256 encryption, along with strict permission management, while also pursuing SOC 2 compliance.
Features
- Collaborative Editor: Build proprietary fine-tuning datasets with your team.
- Copilot: Automates evaluations and model improvements for your use case.
- Evaluators: Benchmark outputs and collaborate with product managers, domain experts, and engineers.
- Metrics: Track AI metrics such as speed, quality scores, and token usage.
- Log View: Capture user interactions, model responses, and system metrics for ongoing model improvement.
- Filters: Refine your search with advanced filters.
- Tracing: Visualize language chains.
- Studio: Create, manage, and optimize prompts.
- Versions: Keep track of prompt changes.
- Models: Compare foundation models and fine-tuned versions.
Use Cases
- Building proprietary fine-tuning datasets to differentiate model performance.
- Optimizing model performance for specific use cases.
- Automating evaluations and model improvements.
- Tracking AI metrics to measure model performance.
- Capturing production data for ongoing model improvement.
- Collaboratively creating and managing prompts.
FAQs
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What is fine-tuning?
Fine-tuning customizes an AI model by training it on data that matches a specific use case, enhancing its performance and accuracy. This process reduces errors and improves reliability, creating models that better understand your domain. Fine-tuned models go beyond generic, prompt-based solutions, making them highly effective for tasks like creating content in a publisher's unique style and tone of voice. -
How long does it take to create a custom AI model?
If you have an existing dataset, you can simply upload it and start fine-tuning directly. Setting up our SDK to track production data takes only a few minutes. From there, you can immediately begin building and refining your dataset, with access to tools that help you manage data and improve model performance. With these resources, you'll be ready to fine-tune and deploy models within a couple of hours. Our documentation provides step-by-step guides to help you every step of the way. -
Is my data secure?
Yes, your data is encrypted in transit and at rest, remains private to your account, and is never shared with third parties or used to train any models. All data is stored on servers located in Europe, and our platform undergoes regular security assessments. We also offer dedicated cloud options for enterprise users with additional security requirements. -
Can I export my data?
Yes, you can export all your data at any time directly from the platform. -
Can I use my own model or other providers?
Yes, our APIs and SDKs allow integration with models from various providers, including self-hosted models via vLLM. See our documentation for more details on supported integrations.
