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Offline LLM Evaluation: Step-by-Step GenAI Application Assessment on Databricks

Background In an era where Retrieval-Augmented Generation (RAG) is revolutionizing the way we interact with AI-driven applications, ensuring the efficiency and effectiveness of...

Using MLflow AI Gateway and Llama 2 to Build Generative AI Apps

To build customer support bots, internal knowledge graphs, or Q&A systems, customers often use Retrieval Augmented Generation (RAG) applications which leverage pre-trained models...

Introducing MLflow 2.3: Enhanced with Native LLMOps Support and New Features

With over 11 million monthly downloads, MLflow has established itself as the premier platform for end-to-end MLOps, empowering teams of all sizes to...

How to Build a Scalable Wide and Deep Product Recommender

Download the notebooks referenced throughout this article. I have a favorite coffee shop I've been visiting for years. When I walk in, the...

Simplify Data Conversion from Apache Spark to TensorFlow and PyTorch

June 16, 2020 by Liang Zhang and Weichen Xu in
Petastorm is a popular open-source library from Uber that enables single machine or distributed training and evaluation of deep learning models from datasets...

100x Faster Bridge between Apache Spark and R with User-Defined Functions on Databricks

August 15, 2018 by Liang Zhang and Hossein Falaki in
SparkR User-Defined Function (UDF) API opens up opportunities for big data workloads running on Apache Spark to embrace R's rich package ecosystem. Some...