import{s as I,n as U,o as j}from"../chunks/scheduler.7bc62968.js";import{S as z,i as B,g as p,s as u,r as H,A as V,h as c,f as a,c as d,j as E,u as T,x as $,k as A,y as F,a as o,v as R,d as S,t as G,w as N}from"../chunks/index.2f8492b0.js";import{H as q,E as O}from"../chunks/EditOnGithub.2a9ce03a.js";function W(k){let n,f,h,w,s,y,l,x="We hope that you found the unit on multimodal models exciting. If you’d like to learn and explore in detail about multimodal learning and models, here is a list of resources for your reference:",L,i,C='<li><a href="https://huggingface.co/tasks" rel="nofollow"><strong>Hugging Face Tasks</strong></a> offers an overview of various tasks under domains like Computer Vision, Audio, NLP, Multimodal Learning and Reinforcement Learning. The tasks contain demos, use cases, models, datasets, etc.</li> <li><a href="https://cmu-multicomp-lab.github.io/mmml-course/fall2022/" rel="nofollow"><strong>11-777 MMML</strong></a> course on multimodal machine learning by CMU. You can find the video lectures <a href="https://www.youtube.com/@LPMorency/playlists" rel="nofollow"><strong>here</strong></a>.</li> <li><a href="https://huyenchip.com/2023/10/10/multimodal.html" rel="nofollow"><strong>Blog on Multimodality and LLMs by Chip Huyen</strong></a> provides a comprehensive overview of multimodality, large multimodal models, systems like BLIP, CLIP, etc.</li> <li><a href="https://github.com/pliang279/awesome-multimodal-ml" rel="nofollow"><strong>Awesome Multimodal ML</strong></a>, a GitHub repository containing papers, courses, architectures, workshops, tutorials etc.</li> <li><a href="https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models" rel="nofollow"><strong>Awesome Multimodal Large Language Models</strong></a>, a GitHub repository containing papers and datasets related to multimodal LLMs.</li> <li><a href="https://gkioxari.github.io/teaching/cs148/" rel="nofollow"><strong>EE/CS 148, Caltech</strong></a> course on Large Language and Vision Models.</li>',M,r,P=`In the next unit we will take a look at another kind of Neural Network Models that were revolutionized by multimodality in the last years: <strong>Generative Neural Networks</strong>
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