Predibase: Fast & Easy AI Platform for Open-Source ML Model Fine-Tuning
Predibase: AI Platform for Fine-Tuning Open-Source ML Models. Quickly fine-tune & serve ML models on top infrastructure in your private cloud. Fast & easy for engineers!
Discover Predibase
Predibase is an innovative AI platform designed for developers, offering a streamlined approach to fine-tuning and deploying any open-source machine learning (ML) model or large language model (LLM) on advanced, privately-hosted cloud infrastructure.
Join Predibase on Discord
Connect with the Predibase community on Discord: https://discord.gg/CBgdrGnZjy. For more details, click here(/discord/cbgdrgnzjy).
Contact Predibase Support
For support, customer service, or refund inquiries, visit the Predibase contact page(https://predibase.com/contact-us).
About Predibase
Company name: Predibase.
Access Predibase
Login to Predibase: https://app.predibase.com/
Sign Up for Predibase
Start your free trial here: https://predibase.com/free-trial
Predibase Pricing
Find pricing information: https://predibase.com/pricing
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Connect with Predibase on LinkedIn: https://www.linkedin.com/company/predibase
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Find Predibase on Twitter: https://twitter.com/predibase
Explore Predibase on GitHub
Check out Predibase's GitHub: https://github.com/ludwig-ai/ludwig
FAQs About Predibase
What is Predibase?
Predibase is a cutting-edge AI platform that simplifies the process of fine-tuning and deploying any open-source ML model or LLM on a secure and scalable private cloud infrastructure.
How to Get Started with Predibase?
To start using Predibase, log in and begin building or deploying custom ML models. The platform enables you to interact with pre-trained LLMs like Vicuna, OpenLlama, or Dolly without needing to write intricate code, thanks to its declarative approach and automated workflows.
Key Features of Predibase
Predibase provides key features including:
1. Rapid Model Building: Quickly create models by automating complex coding and training on various datasets.
2. Easy Fine-Tuning: Effortlessly manage and customize models with detailed control options and intelligent recommendations.
3. Seamless Deployment: Utilize a flexible and scalable model-serving infrastructure for batch and real-time inference, with multiple deployment options.
4. Data Privacy: Retain full ownership of your models, deploying them securely within your virtual private cloud (VPC) for complete data privacy.