The potential of Large Language Models with Steven Aberle

Hope you had a wonderful start to the new year.This episode is special for multiple reasons.This is one of the few episodes when I had the conversation with a guest in person - and that was also video recorded, with a fireplace in the background, on a cold day!You would be able to watch this conversation as a video on the PM Power youtube channel.This episode was recorded in November, 2022 - much before ChatGPT was made available to the public and the subsequent increased interest.My guest today, Steven Aberle, is a founder of a company that is in stealth mode, working on domain aware, Large Language model based processing for very niche applications.In this conversation, Steven sharesHow he joined the military half way through college and then went back to finish his studiesGetting interested in IT during the military serviceNavigating away from the back end to the front and, focusing on how the users interact with the systemsBeing in the Washington DC area, getting to work on Defense related areasWorking on defense proposals, that need to be technical, unique and bring out the uniqueness of the proposed approachCreating a piece of patented technology for domain aware generative AI, based on Large Language models and transformersThe challenge for small technology companies to break into the defense procurement spaceCouple of challenges with the open LLMsTrained on open content available, thereby missing contextual insights that are more valuableNone of the data that is generated, can be attributed to the source material [explainable AI]How he organizes his own learning even when moving across specialization areasIt is always about the dataHis exposure and experience with ETL approaches, including working with unstructured dataAbout being a full stack engineer, to be aware of many areasNot be as much of an expert as one may want to be in any one area, but connect the learnings to the new areas as wellHis approach for being a T-shaped individual, going deep into LLM, on how they are trained Transformers are the next big wave now, after the cloud a couple of decades agoThe concept or role of a solutions architect and how that may be implemented in a large language modelAspects related to LLMs and content / data more than just text, to also include images, figure descriptions etcHow generative AI has made the life of graphic designers / UX specialists much easierCapturing conversations with solutions architects, use a transformer to generate a proposal-language based outputHis answer to that question and a lot more - including questions he asked me, related to startups - effectively making role reversal - the guest becoming the host!Steven Aberle is the Co-Founder of The Rohirrim, a start-up bringing Domain-Aware Generative AI to the Enterprise. He has 18 years of leadership and executive-level technology capacities and is a recognized expert in unstructured data processing at scale. Steve holds the patent for Domain-Aware Generative AI, Generative Stitching and Vector-Attributable Large Language Models.