Intro to AI for Rails developers with Chad Pytel

In Part 2 of our series, AI in Focus, you can learn by doing alongside thoughtbot founder, CEO, and developer - Chad Pytel. He’s hosting live coding sessions that will teach you how to integrate AI features into your web app.

Chad’s Intro to AI for Rails developers livestream sessions will walk through foundational AI technical concepts to get you executing on real AI projects. He will be working on real Rails apps throughout the tutorials. This portion of the series is ideal for experienced web developers and technical product folks.

Did you miss Part 1 of AI in Focus? The recordings of our roundtable sessions on the strategic foundations of successful AI initiatives are now available to watch. We provide guidance on determining which of your AI ideas are worth pursuing before implementing code. You can watch them on demand here:

Getting started implementing AI features

With the advancements of LLMs over the last few years, implementation is possible by any experienced web developer. And yes, Ruby on Rails is great for AI!

Join Chad as he explores working with large language models (LLMs) like ChatGPT. In these 4 sessions Chad will be live coding actual implementation in Ruby, including how to:

  • Use LLMs like ChatGPT to answer questions from documentation
  • Use 3rd party LLMs or host your own open source models

Learn more about each session, sign up to get the livestream link, or catch the recording if you can’t make it:

Working with OpenAI’s ChatGPT

November 7, 2024 at 12pm EST

Let’s explore using ChatGPT to answer questions from private internal documentation, and ensuring accurate answers.

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Structured data and function calling

November 14, 2024 at 12pm EST

Building on the last session, we’ll get the LLM to give our documentation back a JSON formatted response to searches.

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Information summarization

November 21, 2024 at 12pm EST

This session demonstrates using an LLM to summarize user-supplied information in our app and ensure privacy.

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Setting up a local LLM

December 5, 2024 at 12pm EST

Learn how to set up a local LLM, explore AI ethics, and implement a tag suggestion system using embeddings and OpenAI.

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