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Ask HN: What have you built with LLMs?

Feb 05, 2024 - news.ycombinator.com
The markdown data discusses various projects that individuals have created using different technologies. One user is developing an app called textool, which allows users to create endpoints using GPT4 and create actions for GPT4 assistants. The app uses Nextjs, Deno Deploy, Supabase, postgres, and auth. Another user has created a news article generator using local LLMs and a Discord bot that generates images.

Other projects include a script that categorizes credit card transactions, a summarization tool for calls and emails, a meme generator using GPT and Dall-E, and a Chrome extension that uses the browser's context menu to run commands on the LLM. One user also built a sales bot that simulates a real human sales scenario, although it was never deployed in production.

Key takeaways:

  • Various projects are being developed using GPT4, including a textool app that creates endpoints, a news article generator, a script for categorizing credit card transactions, and a sales bot.
  • Some of the technologies being used in these projects include Nextjs, Deno Deploy, Supabase, Postgres, and Python API.
  • One project team built a meme generator using GPT and Dall-E, demonstrating the potential for creative applications of these technologies.
  • A Chrome extension was also developed that uses the browser's context menu to run commands on the LLM, providing a native-like experience for users.
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