<?xml version="1.0"?>
<oembed><version>1.0</version><provider_name>DagligaAI</provider_name><provider_url>https://dailyai.com/sv</provider_url><author_name>Eugene van der Watt</author_name><author_url>https://dailyai.com/sv/author/eugene/</author_url><title>Woodpecker could solve multimodal LLM hallucinations | DailyAI</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="lH0hPn6Em4"&gt;&lt;a href="https://dailyai.com/sv/2023/10/woodpecker-could-solve-multimodal-llm-hallucinations/"&gt;Hackspett kan l&#xF6;sa multimodala LLM-hallucinationer&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://dailyai.com/sv/2023/10/woodpecker-could-solve-multimodal-llm-hallucinations/embed/#?secret=lH0hPn6Em4" width="600" height="338" title=""Woodpecker kan l&#xF6;sa multimodala LLM-hallucinationer" - DailyAI" data-secret="lH0hPn6Em4" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
/*! This file is auto-generated */
!function(d,l){"use strict";l.querySelector&amp;&amp;d.addEventListener&amp;&amp;"undefined"!=typeof URL&amp;&amp;(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&amp;&amp;!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i&lt;o.length;i++)o[i].style.display="none";for(i=0;i&lt;a.length;i++)s=a[i],e.source===s.contentWindow&amp;&amp;(s.removeAttribute("style"),"height"===t.message?(1e3&lt;(r=parseInt(t.value,10))?r=1e3:~~r&lt;200&amp;&amp;(r=200),s.height=r):"link"===t.message&amp;&amp;(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&amp;&amp;n.host===r.host&amp;&amp;l.activeElement===s&amp;&amp;(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r&lt;s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document);
//# sourceURL=https://dailyai.com/wp-includes/js/wp-embed.min.js
&lt;/script&gt;</html><thumbnail_url>https://dailyai.com/wp-content/uploads/2023/10/woodpecker.jpg</thumbnail_url><thumbnail_width>1920</thumbnail_width><thumbnail_height>1080</thumbnail_height><description>Multimodal Large Language Models (MLLM) like GPT-4V are really good at analyzing and describing images but sometimes they hallucinate and get things wrong. A new approach called Woodpecker could fix that. If you ask an MLLM to describe a photo it can normally pick out the objects and accurately describe the scene. But as with answers to text prompts, the model sometimes makes assumptions based on items or concepts that often appear together. As a result, an MLLM could describe a photo of a shopfront scene and say there are people in the scene when there actually aren&#x2019;t any. Fixing</description></oembed>
