---
title: "Generalized Language Models"
url: https://daily.dev/posts/generalized-language-models-eytsrl9oo
source_url: https://lilianweng.github.io/posts/2019-01-31-lm/
type: article
source: "Lil’Log"
published: 2023-07-30T11:40:36.037Z
updated: 2023-07-30T11:24:16.035Z
tags: ["nlp", "openai", "bert"]
reading_time: 33
upvotes: 0
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.

# Generalized Language Models

**[Lil’Log](https://daily.dev/sources/lilianweng)** · 33 min read · 0 upvotes · 0 comments

## Summary

Large-scale pre-trained language modes like OpenAI GPT and BERT have achieved great performance on a variety of language tasks using generic model architectures. This simple and powerful approach in NLP does not require labeled data for pre-training, allowing us to experiment with increased training scale, up to our very limit.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://lilianweng.github.io/posts/2019-01-31-lm/>

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---

Tags: [#nlp](https://daily.dev/tags/nlp), [#openai](https://daily.dev/tags/openai), [#bert](https://daily.dev/tags/bert)

[View this post on daily.dev](https://daily.dev/posts/generalized-language-models-eytsrl9oo)