---
title: "Multimodal Large Language Models & Apple’s MM1"
url: https://daily.dev/posts/multimodal-large-language-models-apple-s-mm1-sy3sne0do
source_url: https://towardsdatascience.com/multimodal-large-language-models-apples-mm1-c1e94d87a161
type: article
source: "Towards Data Science"
published: 2024-04-13T08:54:07.754Z
updated: 2024-05-09T07:55:57.971Z
tags: ["llm", "multimodal"]
reading_time: 6
upvotes: 0
comments: 0
language: en
---

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# Multimodal Large Language Models & Apple’s MM1

**[Towards Data Science](https://daily.dev/sources/tds)** · 6 min read · 0 upvotes · 0 comments

## Summary

This blog post discusses the architecture and findings of Apple's MM1 paper on Multimodal Large Language Models. It explores the abstraction of input for Large Language Models, the image encoders, vision-language connectors, and the results of different ablations and pre-training data. The post highlights the impact of image resolution on performance and the potential applications of multi-modal LLMs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/multimodal-large-language-models-apples-mm1-c1e94d87a161>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#multimodal](https://daily.dev/tags/multimodal)

[View this post on daily.dev](https://daily.dev/posts/multimodal-large-language-models-apple-s-mm1-sy3sne0do)