In this video we discuss the reasons why fine-tuning is needed to create mroe contextual accurate LLMs, and the methods that you can do to accomplish this. We also give a demo of our newest Applied ML Prototype (AMP) which demonstrates how to implement LLM fine-tuning jobs that make use of the QLoRA and Accelerate implementations available in the PEFT open-source library from Huggingface and an example application that swaps the fine-tuned adapters in real time for inference targetting different tasks. Learn more at cloudera.com#ai #ml.

Open more possibilities with an open data lakehouse. As the industry’s first open data lakehouse, Cloudera Data Platform delivers scalable performance and efficiency to enable smarter business decisions—paving the safest, fastest path from data to AI. Cloudera, together with Intel and HPE, can power analytics and AI at scale across any CSP or private cloud infrastructure.

Red Hat and Cloudera have joined forces to enable customers to take advantage of the cloud with full confidence, especially in the financial services industry, where data protection is critical. Red Hat Payment Industry Lead, Ramon Villarreal describes how collaborating with Cloudera provides leading financial services organizations with data resiliency, performance and expedited time to market as they leverage the cloud to move and manipulate massive amounts of data.

This collaborative meetup was designed to bring together individuals interested in exploring the basics of Apache Ozone. Expert Ozone developer Nandakumar Vadivelu will guide you through the basics of setting up and configuring Ozone, as well as highlighting its key features and benefits. Begining with an overview of Apache Ozone's fundamentals, diving into its architecture and core components. This session is perfect for those who are new to Ozone or want to explore its potential as a highly scalable and efficient storage solution.

This video walks you through one of the new features coming with Edge Flow Manager 1.6.0: the one-line installer command. Did you ever think that installing a MiNiFi (C++ or Java) agent was complicated? Did you ever struggle with generating and configuring the certificates for mTLS communication between the agents and Edge Flow Manager?

Did you know there are 1.4 million open tech jobs, but global educational institutions only produce 400,000 qualified individuals annually to fill them? In our third episode of The Art of Data Leadership, Synchrony’s Ram Karnati believes the answer lies with #AI, “Day-to-day coding is going to get easier; AI is going to take care of it. So, the next phase of talent transformation will not be focused on being the best coder out there. People will start to look for generalists who also understand business.”

This video demonstrates the Disaster Recovery use case by using Replication Manager to replicate HBase data on COD from cloud to cloud.

Watch the Apache Iceberg meetup presented by Cloudera and LinkedIn. Learn how you can improve your BI analytical performance with Iceberg. See how easy it is to adopt Iceberg without any disruption to your business. Learn from LinkedIn how they have deployed DBT, Coral, and Iceberg for boosting SQL Workflows.

This video demonstrates the Data Migration use case by using Replication Manager to replicate HBase data from on-prem to cloud.

This Meetup will cover how to build applications from some common use cases and highlight tips, tricks, best practices and patterns In this interactive session, Tim will lead participants through how to best build streaming data pipelines. He will cover how to build applications from some common use cases and highlight tips, tricks, best practices and patterns. He will show how to build the easy way and then dive deep into the underlying open source technologies including Apache NiFi, Apache Flink, Apache Kafka and Apache Iceberg.