---
title: "Four LLM trends since ChatGPT and their implications for AI builders"
url: https://daily.dev/posts/four-llm-trends-since-chatgpt-and-their-implications-for-ai-builders-twqxuka5w
source_url: https://towardsdatascience.com/four-llm-trends-since-chatgpt-and-their-implications-for-ai-builders-a140329fc0d2?source=rss----7f60cf5620c9---4
type: article
source: "Towards Data Science"
published: 2023-05-31T13:37:03.333Z
updated: 2025-09-06T02:34:09.965Z
tags: ["ai", "ai-infrastructure", "chatgpt", "llm", "nlp", "open-source"]
reading_time: 15
upvotes: 1
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Four LLM trends since ChatGPT and their implications for AI builders

**[Towards Data Science](https://daily.dev/sources/tds)** · 15 min read · 1 upvotes · 0 comments

## Summary

Four LLM trends since ChatGPT and their implications for AI builders. Generative AI pushes autoregressive models, while autoencoding models are waiting for their moment. Open-source competes with for-profits, spurring innovation in LLM efficiency and scaling.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/four-llm-trends-since-chatgpt-and-their-implications-for-ai-builders-a140329fc0d2?source=rss----7f60cf5620c9---4>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure), [#chatgpt](https://daily.dev/tags/chatgpt), [#llm](https://daily.dev/tags/llm), [#nlp](https://daily.dev/tags/nlp), [#open-source](https://daily.dev/tags/open-source)

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