ISACA London Chapter’s Post

This foundational course from ISACA helps professionals like you harness the power of AI in their auditing practice. Prepare your career for the growing AI future. Go to: bit.ly/3y6dyUA

Just finished the course “Responsible AI: Principles and Practical Applications” by Tsu-Jae Liu, Brandie Nonnecke, and Jill Finlayson! Check it out: https://lnkd.in/gshnJub9 #responsibleai #businessprocessautomation #artificialintelligence.

This blog post shows some of our recent experiences with using AI to help us with our CMMC compliance requirement. We have learned a lot from this project that will help us not only be compliant, but also support the efforts of the primes that we support! Hopefully, you can find some useful tidbits in here too!

Just finished the course “Responsible AI: Principles and Practical Applications” by Tsu-Jae Liu, Brandie Nonnecke, and Jill Finlayson! Check it out: https://lnkd.in/ghAiVaiX #responsibleai #businessprocessautomation #artificialintelligence.

Just finished the course “Responsible AI: Principles and Practical Applications” by Tsu-Jae Liu, Brandie Nonnecke, and Jill Finlayson! Check it out: https://lnkd.in/gSWCsEnF #responsibleai #businessprocessautomation #artificialintelligence.

Just finished the course “Responsible AI: Principles and Practical Applications” by Tsu-Jae Liu, Brandie Nonnecke, and Jill Finlayson! Check it out: https://lnkd.in/eJJKFnrf #responsibleai #businessprocessautomation #artificialintelligence.

Just finished the course “Responsible AI: Principles and Practical Applications” by Tsu-Jae Liu, Brandie Nonnecke, and Jill Finlayson! Check it out: https://lnkd.in/ejdi98qQ #responsibleai #businessprocessautomation #artificialintelligence.

Just finished the course “Responsible AI: Principles and Practical Applications” by Tsu-Jae Liu, Brandie Nonnecke, and Jill Finlayson! Check it out: https://lnkd.in/eke77vTE #responsibleai #businessprocessautomation #artificialintelligence.

Hallucinations, or incorrect outputs from AI models, are a significant issue for businesses integrating generative AI technology. While hallucinations may be an unsolvable issue with current transformer-based AI model architectures, a technical approach called Retrieval-Augmented Generation (RAG) can reduce them to some extent. #RAG retrieves relevant documents to provide context for AI's responses, helping verify factual accuracy. While it reduces hallucinations, it doesn't eliminate them and is most effective in knowledge-intensive scenarios. Additionally, there is ongoing debate about the cost-effectiveness of implementing RAG. Here is the paper that coined the term RAG. 👇👇 Paper->https://lnkd.in/gPfYJisM

Just finished the course “Responsible AI: Principles and Practical Applications” by Tsu-Jae Liu, Brandie Nonnecke, and Jill Finlayson! Check it out: https://lnkd.in/dgizqWtt #responsibleai #businessprocessautomation #artificialintelligence.