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Content 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.

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Hidden blurb --- !ruby/object:Feedjira::Parser::AtomEntry author: Dave Kimura content: 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. title_type: title: Streaming LLM Responses links: - https://www.driftingruby.com/episodes/streaming-llm-responses published: 2024-03-03 00:00:00.000000000 Z entry_id: tag:www.driftingruby.com,2005:Episode/451 carlessian_info: news_filer_version: 2 newspaper: Drifitng ruby macro_region: Technology rss_fields: - author - content - title_type - title - links - published - entry_id - url - updated url: https://www.driftingruby.com/episodes/streaming-llm-responses updated: 2024-03-13 07:04:47.000000000 Z categories: []

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Ricc internal notes Imported via /Users/ricc/git/gemini-news-crawler/webapp/db/seeds.d/import-feedjira.rb on 2024-04-01 22:13:18 +0200. Content is EMPTY here. Entried: author,content,title_type,title,links,published,entry_id,url,updated. TODO add Newspaper: filename = /Users/ricc/git/gemini-news-crawler/webapp/db/seeds.d/../../../crawler/out/feedjira/Technology/Drifitng ruby/2024-03-03-Streaming_LLM_Responses-v2.yaml

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