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Explore innovations in transformer-based architectures, efficient fine-tuning, deployment considerations, and multi-modal developments for large language models in this comprehensive deep dive.
This course is aimed at developers, data scientists, and engineers looking to build LLM-centric applications with the latest and most popular frameworks. By the end of this course, you will have built an end-to-end LLM workflow that is ready for producti…
Explore MLOps on Azure Databricks with MLflow, focusing on Model Registry, Webhooks, and automated pipelines for effective machine learning model lifecycle management and deployment.
Introduction to MLflow: tracking experiments, packaging projects, deploying models, and managing lifecycle. Learn to record, reproduce, and compare ML runs using MLflow's components and UI.
Explore Boeing's use of streaming data to monitor flights, detect aviation events, and enhance decision-making for pilots and operations control centers using advanced data technologies.
Unlock SAP data's AI potential with Business Data Cloud—unify, govern, and connect SAP with third-party data for enhanced machine learning and analytics capabilities.
Explore building autonomous AI agents within scalable infrastructure, covering modular frameworks, resource optimization, and real-time decision-making for modern AI ecosystems.
Discover how Databricks leverages Gen AI, MosaicML, and Model Serving to build an advanced chatbot that revolutionizes sales enablement and trains go-to-market teams effectively.
Discover how to quantify AI quality and link operational outcomes to strategic goals for government missions using calibrated LLM judges and unified data environments.
Explore how Mankind Pharma uses GenAI to enhance data access, redesign product packaging, and analyze audio from sales reps, accelerating innovation in the pharmaceutical industry.
Discover how Experian implements Databricks' "shift left" approach, enabling business analysts to create GenAI apps using AI/BI Genie and Agent Studio for analytics and testing.
Learn Bayesian statistics, Monte Carlo methods, and PyMC3 for data science. Gain practical skills in probability, modeling, and inference using Python tools like NumPy, Pandas, and Matplotlib.
Learn top tuning tips for Apache Spark 3.0 and Delta Lake on Databricks. Discover optimal join strategies, machine sizing, merge operation speedups, and job simplification techniques for enhanced big data processing.
Overview of Delta Lake 2.0 features, integrations, and community collaboration. Highlights include data skipping, Change Data Feed, column mapping, multi-cluster S3 writes, and support for various languages and platforms.
Explore Gazelle-Jni, a middle layer integrating native SQL engines with Spark SQL for accelerated execution through Substrait-transformed physical plan offloading.
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