LLM Context
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18:22 CC

LLM Context

#446 Mar 10, 2024 pro
Building on the previous episode, we look at refactoring our background job into a more maintainable object and provide context to the LLM so that we can chain together responses for a more conversational experience.

Streaming LLM Responses
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24:10 CC

Streaming LLM Responses

#445 Mar 3, 2024 free
In this episode, we look at running a self hosted Large Language Model (LLM) and consuming it with a Rails application. We will use a background to make API requests to the LLM and then stream the responses in real-time to the browser.

Campfire Bots
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31:41 CC

Campfire Bots

#444 Feb 25, 2024 pro
In this episode, we explore the practical use of Campfire Bots for webhook applications. We'll start by setting up an AI Image Generator bot that interacts with our Ruby on Rails application, and then connect it to a self-hosted Large Language Model (LLM). Our initial goal is to get the system working. After that, we'll focus on refactoring the code to improve its safety and maintainability.

Solid Queue
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14:15 CC

Solid Queue

#438 Jan 21, 2024 pro
Solid Queue is a DB-based queuing backend for Active Job, designed with simplicity and performance in mind. In this episode, we'll look at exploring Solid Queue and and option for a graphical interface to view the jobs.

Detect Spam with AI
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29:22 CC

Detect Spam with AI

#427 Nov 5, 2023 free
We can create a small python service that uses a Large Language Model (LLM) to detect if a message is spam or not. Using this service, we can tie it into our Rails application so that any comment created will be evaluated for being spam or not. We explore a few different routes on handling any messages flagged as spam.