Applying Generative AI to product design with BigQuery DataFrames
Generative AI is a powerful tool for accelerating the branding process for new products or compounds.
Making The Most Of Your LinkedIn Ads Data With Integrate.io
Our Head of Solutions Engineering, Teri Morgan, explains how you can use our Integrate.io no-code ETL platform to easily extract, transform, and load your LinkedIn Ads data to the destination component of your choice.
Live: Start Building with Snowflake Native Apps
Join Felipe Hoffa, Gilberto Hernandez (Developer Advocate), and Sohail Zafar (Product Manager) as they demo building a Snowflake Native App, the provider and consumer side of the application, monetization, and more. Bring your questions!
How to Create an Analytical Report: 9 Best Practices
Learn how to create comprehensive analytical reports from 49 experts who have been using these reports to spur business growth.
Top 8 Dashboard Reporting Tools Chosen by Experienced Users
Looking for a dashboard reporting tool for your business? We consulted 78 expert users, and they had 8 top choices to share.
Reducing BigQuery physical storage cost with new billing model
As customers scale data warehousing in the cloud with BigQuery, cost optimization becomes crucial for scalable data storage in the cloud.
BigQuery's user-friendly SQL: Elevating analytics, data quality, and security
BigQuery’s new SQL capabilities deliver improved analytics flexibility, data quality and security.
Fivetran Demo: Oracle Database Connector Demo Video
Learn how Fivetran can efficiently move and transform data from your Oracle Database instance, enabling real-time analytics and insights.
Telecommunications Data Monetization Strategies in 5G and beyond with Cloudera and AWS
The world is awash with data, no more so than in the telecommunications (telco) industry. With some Cloudera customers ingesting multiple petabytes of data every single day— that’s multiple thousands of terabytes!—there is the potential to understand, in great detail, how people, businesses, cities and ecosystems function.
Fine-Tuning a Foundation Model for Multiple Tasks
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.