Large language models, generative AI – all of it is moving at such blinding speed that it's difficult to stay on top of the latest developments. As such, we've decided that regular check-ins on the state of generative AI is now a necessity rather than a preference so today, we've invited Dan Giannone back onto the show to walk us through the current trends he's seeing in generative AI. Dan is the Cloud Solutions Architect at Microsoft, and after walking us through what his role entails, he explains why consumers don't know enough about cloud services and what can be done to educate them. Our discussion then turns to the rapid evolution of generative AI, how Dan and his team are keeping customers up-to-date about new innovations, why business leaders need to be less cynical about the big data revolution, how understanding AI is a process and not instant, and how to know when your business is ready to introduce LLMs to its systems. We also discuss what's missing from the generative AI playbook, the importance of building AI-centered teams, the value of solutions accelerators, and why AI hallucinations shouldn't be a major concern for businesses. To understand the customer's role in the effective use of AI, the biggest myths about AI, and how leading technology companies are grappling with the LMM disruption, press play now.
Key Points From This Episode:
Links Mentioned in Today's Episode:
'My First RAG Use-Case - Key Insights & Lessons Learned'
'Chat with Your Data' Solution Accelerator
Deep Takes, Not Fakes on Instagram
