Welcome to the Predibase Resources Center
Your one stop shop for all machine learning, deep learning, and declarative ML ebooks, webinars and learning resources.
Build Your Own LLM in Less Than 10 Lines of YAML
Generalized models solve general problems. The real value comes from training a large language model on you data and finetuning it for a specific ML task. Now you can build your own custom LLM in a few lines of code.
Videos & Webinars
4 Ways Developers Can Build AI-Powered Apps Faster with Declarative ML
New declarative machine learning tools make ML accessible to developers by simplifying model development and deployment with a config-driven approach rooted in engineering best practices. Read the ebook to learn more.
eBooks
Privately Host and Customize Large Language Models for Your ML Task
There’s a better way to use and finetune LLMs on your own data that is faster, cheaper, and doesn’t require giving away any proprietary data to LLM vendors. Check out this webinar and demo to learn more.
Videos & Webinars
AutoML 2.0: The future of AutoML
A new generation of declarative ML systems—like those pioneered at Uber, Apple, and Meta— provide a glass-box approach to automating ML that enables teams to bring new models to market faster with complete flexibility and control.
Videos & Webinars
Solution Guide: Low-code Machine Learning with Predibase
Overview of declarative ML and how Predibase enables you to rapidly build, iterate and deploy state-of-the-art ML models with little to no code - in minutes.
eBooks
Hands-on with Multi-Modal Machine Learning: Predicting Customer Ratings
Learn how to easily build and evaluate a deep learning model to predict customer ratings using unstructured text and tabular data.
Videos & Webinars
Santavision: Deep Learning for the Holidays
Learn how to use Predibase and open-source Ludwig to rapidly train an image classifier in less than 15 lines of a config file
Videos & Webinars
Intro to Text Classification on Ludwig
Learn how to build a state-of-the-art text classifier with Ludwig in just a few lines of a configuration file.
Tutorials
Exploring AutoML for Deep Learning with Ludwig
Ludwig AutoML makes it easy to rapidly build state-of-the-art models for tabular and text classification among other use cases. In this session, we deep-dive into Ludwig AutoML design, development, evaluation, and use.
Videos & Webinars
Intro to Declarative ML Systems
Learn how Declarative machine learning systems—like those started at Uber and Apple—provide a glass-box approach to automating ML.
Videos & Webinars
Guide to Sentiment Analysis with Ludwig
3-part guide to go from importing data and implementing baseline models to working with BERT and doing Hyperparameter Optimization, all using only open-source Ludwig.
Tutorials