Analytics

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.

Building Airtight Data Security Architecture in Growing Businesses

In the second installment of Mavericks of Data, we have an engaging discussion with Mahesh Krishnan, CTO of Fujitsu Australia and innovator, thought leader, author, speaker, and passionate technologist who has over 30 years of experience in the IT sector. Mahesh talks about his role within Fujitsu, the recent developments and key considerations in data security, setting up data security within growing businesses and the challenges revolving around data sensitivity.