This is the slides and speaker notes for a presentation I originally gave at my workplace concerning generative AI, it’s current state, and how we can take advantage of it. This section of the presentation focused on some of the “how it works” aspects, to help demystify what was going on behind the scenes. I find it’s really easy for people to ‘personify’ generative AI, which can lead to falsely attributing intelligence to what is essentially a complicated auto-complete, so I wanted to clarify exactly what was happening to dispel any myths. This is part two of the three part presentation. Part 1 is here, and Part 3 is here. As a reminder, a lot of this content was based on material I had found on Jay Alammar’s site and youtube channel - you can check it out at https://jalammar.github.io/ Also worth noting that there’s quite a bit of stuff I’d update on these slides now that I’m nearly a year into working with generative AI, but as a primer it still works pretty well.

I had originally given this talk at my workplace in October of 2023. I was prompted to put something together in response to all the hype I was seeing in the industry and around the financial services markets. I had two objectives when I started researching this presentation: Demystifying generative AI, exactly what it was, how it worked, and what it could do Identify opportunities to use generative AI within our business and industry I’m going to break this presentation over three posts as there’s a lot of content to consume here. Part 2 is here, and Part 3 is here. Here’s a breakdown of the slides and content! It’s worth noting a lot of this content was based on material I had found on Jay Alammar’s site and youtube channel - you can check it out at https://jalammar.github.io/ Also worth noting that there’s quite a bit of stuff I’d update on these slides now that I’m nearly a year into working with generative AI, but as a primer it still works pretty well.