The Developers Platforms for Fine-tuning and Serving LLMs
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The fastest way to fine-tune and deploy any open-source LLM Fine-tune and serve any open-source LLM. Our proven, scalable infrastructure is available through either serverless fine-tuned endpoints or within your environment’s virtual private cloud.
No-Code AI
Note: We are in the process of evaluating platforms based on our Core Criteria, Extended Criteria, and Code AI Criteria. The ratings for these categories will be published soon. Thank you for your patience as we ensure a thorough and accurate assessment.
Powered by Artificial Intelligence: Predibase is a no-code AI platform that enables users to build models without any lines of code.
Drag and Drop Interface: The platform comes with a user-friendly drag and drop interface that makes it easy for anyone to create machine learning models. No prior technical or programming knowledge is required.
Various Machine Learning Models: Predibase supports different types of machine learning models, including regression, classification, clustering, and others.
Automation: The platform is designed to automate data cleaning, feature selection, model selection and optimization, and post-processing.
Customizable: Users can customize their models by assembling and configuring nodes and operations.
Collaboration: It enables individuals and teams to collaborate on projects. Users can invite others to join their workspace, share models, and track changes.
Scalability: The platform supports the needs of businesses of all sizes. Users can handle datasets with millions of records.
Data Visualization: Supports data interpretation with various data visualization tools.
Security: Predibase highlights the platform's commitment to data security. It ensures all data are securely stored and models are protected.
Cost and Time Effective: Being a no-code platform, it significantly reduces the time and cost involved in creating machine learning models.
Reporting Feature: Predibase includes a built-in reporting feature that makes it easy to analyze results and share insights with others.