Building LLM-powered Applications

Doors open at 6:15pm. Talk starts at 7:00pm. Networking time starts around 8:00pm.

Building LLM-powered Applications (40m) - Andrei Bondarev -
Solutions Architect / Owner at Source Labs LLC

The 2023 breakthroughs in Generative AI (Artificial Intelligence) have been taking the software development world by storm. We'll take a look at a few components of what is quickly becoming the modern stack for building LLM (Large Language Model) powered applications. Andrei will build a case for Ruby in the emerging AI trend, and show how some of the AI capabilities can be leveraged today!

Speaker Bio:

Andrei Bondarev has been a software engineering professional for 13 years. Among many others, he’s been fortunate to make his impact at Spree Commerce (Acquired by First Data), WeddingWire (merged with The Knot), FiscalNote (IPO), National Public Radio, and USA Today. He currently runs a software dev firm, and serves as an Architect/Engineering Manager/Fractional CTO on the client projects. Consumed by the AI wave this year, Andrei pondered what the future holds for Ruby in the world of ever-growing AI/ML needs. Having just completed a massive client project building a keyword search with Elasticsearch, Andrei dove into the current landscape of semantic search capabilities and the vector search databases. This led him to building Langchain.rb, an “original Langchain”-inspired open source library for building LLM-powered applications. In his free time he enjoys playing tennis and going on long runs while listening to podcasts.

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If you have a Ruby talk idea you would like to present at a future Montreal.rb meetup, please contact (DM) one of the organizers (Mathieu Gagné or Andy Maleh) to get your talk scheduled in an available meetup month.