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Take our 85+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!

Category: Artificial Intelligence

Inside rStar-Math, a Technique that Makes Small Models Math GPT-o1 in Math Reasoning
Artificial Intelligence  Latest  Machine Learning

Inside rStar-Math, a Technique that Makes Small Models Math GPT-o1 in Math Reasoning

Jesus Rodriguez
1 like
January 13, 2025

Author(s): Jesus Rodriguez Originally published on Towards AI. Inside rStar-Math, a Technique that Makes Small Models Math GPT-o1 in Math Reasoning Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 175,000 subscribers. TheSequence is a no-BS (meaning …

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Multi-Class Classification VS Multi-Label Classification
Artificial Intelligence  Latest  Machine Learning

Multi-Class Classification VS Multi-Label Classification

Harshit Dawar
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January 13, 2025

Author(s): Harshit Dawar Originally published on Towards AI. This blog aims to clearly distinguish the two most simultaneously used terminologies, yet very different from each other: “Multi-Label Classification” & “Multi-Class Classification!” This member-only story is on us. Upgrade to access all of …

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The Rise Of Reasoner Models: Scaling Test-Time Compute
Artificial Intelligence  Latest  Machine Learning

The Rise Of Reasoner Models: Scaling Test-Time Compute

Roger Oriol
1 like
January 12, 2025

Author(s): Roger Oriol Originally published on Towards AI. Le Penseur (1904) in the Musée Rodin in Paris. Picture by CrisNYCa — Wikipedia. Introduction A new kind of LLM has recently been popping out everywhere: Reasoner models. Kickstarted by OpenAI’s o1 and o3, …

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This LLM-Based Recommendation System is Insane
Artificial Intelligence  Latest  Machine Learning

This LLM-Based Recommendation System is Insane

Ashu Jain
0 like
January 12, 2025

Author(s): Ashu Jain Originally published on Towards AI. What Makes Walmart’s TMF Breakthrough a Must-Know Innovation This member-only story is on us. Upgrade to access all of Medium. Source: Lexica Art Triple Modality Fusion (TMF) is a state-of-the-art technology that fuses visual, …

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Should You Be Using Agentic AI?
Artificial Intelligence  Data Science  Latest  Machine Learning

Should You Be Using Agentic AI?

Marc Matterson
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January 11, 2025

Author(s): Marc Matterson Originally published on Towards AI. Move over RAG, a new AI trend is about to take 2025 by storm. This member-only story is on us. Upgrade to access all of Medium. Image artificially generated using Grok 2. Since the …

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Bringing AI To Edge Devices
Artificial Intelligence  Latest  Machine Learning

Bringing AI To Edge Devices

Lalit Kumar
0 like
January 11, 2025

Author(s): Lalit Kumar Originally published on Towards AI. Running Neural Networks Locally This member-only story is on us. Upgrade to access all of Medium. If you are not a Medium member, read it here. In recent years, the field of artificial intelligence …

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Implementing a Large Concept Model with Pytorch
Artificial Intelligence  Latest  Machine Learning

Implementing a Large Concept Model with Pytorch

Arthur Lagacherie
0 like
January 11, 2025

Author(s): Arthur Lagacherie Originally published on Towards AI. Implement step by step the recent Meta’s model: Large Concept Model A few days ago, a research paper titled “Language Modeling in a Sentence Representation Space”. They introduced a new type of model, the …

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Model Distillation: The Key to Efficient AI Deployment
Artificial Intelligence  Latest  Machine Learning

Model Distillation: The Key to Efficient AI Deployment

Kshitij Darwhekar
1 like
January 11, 2025

Author(s): Kshitij Darwhekar Originally published on Towards AI. Shrink Your AI, Not Its Power: The Case for Distilled Models. This member-only story is on us. Upgrade to access all of Medium. LLM Distillation Don’t have a paid Medium membership (yet)? You can …

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From Automation to Authenticity: Why a Majority of Social Media Tools Are Becoming Obsolete in 2025
Artificial Intelligence  Data Science  Latest  Machine Learning

From Automation to Authenticity: Why a Majority of Social Media Tools Are Becoming Obsolete in 2025

Tim Urista | Senior Cloud Engineer
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January 9, 2025

Author(s): Tim Urista | Senior Cloud Engineer Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. created by me using hootusite infographic creator Social media engagement is broken. Last year in 2024, despite businesses …

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#57 Are LLMs Really the Magical Fix for All Your Problems?
Artificial Intelligence  Latest  Machine Learning

#57 Are LLMs Really the Magical Fix for All Your Problems?

Towards AI Editorial Team
0 like
January 9, 2025

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! When we launched our ‘Beginner to Advanced LLM Developer Course,’ many of you asked if you were late to the AI Wagon. Well, I feel the LLM revolution …

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MusicLM: The Future of AI-Powered Music Creation — an Overview
Artificial Intelligence  Latest  Machine Learning

MusicLM: The Future of AI-Powered Music Creation — an Overview

Deltan Lobo
1 like
January 8, 2025

Author(s): Deltan Lobo Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image Source: Generated by Author using AI When I was 12 and started playing the piano, it took me a while to …

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Building AI Agent from Scratch with Ruby
Artificial Intelligence  Latest  Machine Learning

Building AI Agent from Scratch with Ruby

Alex Chaplinsky
1 like
January 8, 2025

Author(s): Alex Chaplinsky Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. (Image by Author) This article isn’t just about writing code; it’s about the architecture and patterns that underpin AI agent development. Ruby, …

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Building a Commodities Analysis Multi-Agent Framework
Artificial Intelligence  Latest  Machine Learning

Building a Commodities Analysis Multi-Agent Framework

Yaksh Birla
0 like
January 8, 2025

Author(s): Yaksh Birla Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Leverage LlamaIndex, the Financial Modeling Prep (FMP) API and the latest LLMs for Multi-Agent Commodities Analysis and Rapid Insight Retrieval. All of …

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AlexNet: The Deep Learning Breakthrough That Changed Computer Vision
Artificial Intelligence  Computer Vision  Latest  Machine Learning

AlexNet: The Deep Learning Breakthrough That Changed Computer Vision

Kshitij Darwhekar
1 like
January 8, 2025

Author(s): Kshitij Darwhekar Originally published on Towards AI. This article delves into AlexNet’s journey, from its groundbreaking architecture and innovations to its lasting impact on the field of deep learning. Explore the key features, techniques to reduce overfitting, and its legacy in …

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The Hidden Step Before AGI Will Change Everything
Artificial Intelligence  Latest  Machine Learning

The Hidden Step Before AGI Will Change Everything

Frederik Bussler
0 like
January 8, 2025

Author(s): Frederik Bussler Originally published on Towards AI. Photo by Lindsay Henwood on Unsplash In 2022, when OpenAI released ChatGPT, tech forecasters around the world were consumed by predictions of artificial general intelligence. The race to build machines that could think like …

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`; } else { console.error('Element with id="subscribe" not found within the page with class "home".'); } } }); // Remove duplicate text from articles /* Backup: 09/11/24 function removeDuplicateText() { const elements = document.querySelectorAll('h1, h2, h3, h4, h5, strong'); // Select the desired elements const seenTexts = new Set(); // A set to keep track of seen texts const tagCounters = {}; // Object to track instances of each tag elements.forEach(el => { const tagName = el.tagName.toLowerCase(); // Get the tag name (e.g., 'h1', 'h2', etc.) // Initialize a counter for each tag if not already done if (!tagCounters[tagName]) { tagCounters[tagName] = 0; } // Only process the first 10 elements of each tag type if (tagCounters[tagName] >= 2) { return; // Skip if the number of elements exceeds 10 } const text = el.textContent.trim(); // Get the text content const words = text.split(/\s+/); // Split the text into words if (words.length >= 4) { // Ensure at least 4 words const significantPart = words.slice(0, 5).join(' '); // Get first 5 words for matching // Check if the text (not the tag) has been seen before if (seenTexts.has(significantPart)) { // console.log('Duplicate found, removing:', el); // Log duplicate el.remove(); // Remove duplicate element } else { seenTexts.add(significantPart); // Add the text to the set } } tagCounters[tagName]++; // Increment the counter for this tag }); } removeDuplicateText(); */ // Remove duplicate text from articles function removeDuplicateText() { const elements = document.querySelectorAll('h1, h2, h3, h4, h5, strong'); // Select the desired elements const seenTexts = new Set(); // A set to keep track of seen texts const tagCounters = {}; // Object to track instances of each tag // List of classes to be excluded const excludedClasses = ['medium-author', 'post-widget-title']; elements.forEach(el => { // Skip elements with any of the excluded classes if (excludedClasses.some(cls => el.classList.contains(cls))) { return; // Skip this element if it has any of the excluded classes } const tagName = el.tagName.toLowerCase(); // Get the tag name (e.g., 'h1', 'h2', etc.) // Initialize a counter for each tag if not already done if (!tagCounters[tagName]) { tagCounters[tagName] = 0; } // Only process the first 10 elements of each tag type if (tagCounters[tagName] >= 10) { return; // Skip if the number of elements exceeds 10 } const text = el.textContent.trim(); // Get the text content const words = text.split(/\s+/); // Split the text into words if (words.length >= 4) { // Ensure at least 4 words const significantPart = words.slice(0, 5).join(' '); // Get first 5 words for matching // Check if the text (not the tag) has been seen before if (seenTexts.has(significantPart)) { // console.log('Duplicate found, removing:', el); // Log duplicate el.remove(); // Remove duplicate element } else { seenTexts.add(significantPart); // Add the text to the set } } tagCounters[tagName]++; // Increment the counter for this tag }); } removeDuplicateText(); //Remove unnecessary text in blog excerpts document.querySelectorAll('.blog p').forEach(function(paragraph) { // Replace the unwanted text pattern for each paragraph paragraph.innerHTML = paragraph.innerHTML .replace(/Author\(s\): [\w\s]+ Originally published on Towards AI\.?/g, '') // Removes 'Author(s): XYZ Originally published on Towards AI' .replace(/This member-only story is on us\. Upgrade to access all of Medium\./g, ''); // Removes 'This member-only story...' }); //Load ionic icons and cache them if ('localStorage' in window && window['localStorage'] !== null) { const cssLink = 'https://code.ionicframework.com/ionicons/2.0.1/css/ionicons.min.css'; const storedCss = localStorage.getItem('ionicons'); if (storedCss) { loadCSS(storedCss); } else { fetch(cssLink).then(response => response.text()).then(css => { localStorage.setItem('ionicons', css); loadCSS(css); }); } } function loadCSS(css) { const style = document.createElement('style'); style.innerHTML = css; document.head.appendChild(style); } //Remove elements from imported content automatically function removeStrongFromHeadings() { const elements = document.querySelectorAll('h1, h2, h3, h4, h5, h6, span'); elements.forEach(el => { const strongTags = el.querySelectorAll('strong'); strongTags.forEach(strongTag => { while (strongTag.firstChild) { strongTag.parentNode.insertBefore(strongTag.firstChild, strongTag); } strongTag.remove(); }); }); } removeStrongFromHeadings(); "use strict"; window.onload = () => { /* //This is an object for each category of subjects and in that there are kewords and link to the keywods let keywordsAndLinks = { //you can add more categories and define their keywords and add a link ds: { keywords: [ //you can add more keywords here they are detected and replaced with achor tag automatically 'data science', 'Data science', 'Data Science', 'data Science', 'DATA SCIENCE', ], //we will replace the linktext with the keyword later on in the code //you can easily change links for each category here //(include class="ml-link" and linktext) link: 'linktext', }, ml: { keywords: [ //Add more keywords 'machine learning', 'Machine learning', 'Machine Learning', 'machine Learning', 'MACHINE LEARNING', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, ai: { keywords: [ 'artificial intelligence', 'Artificial intelligence', 'Artificial Intelligence', 'artificial Intelligence', 'ARTIFICIAL INTELLIGENCE', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, nl: { keywords: [ 'NLP', 'nlp', 'natural language processing', 'Natural Language Processing', 'NATURAL LANGUAGE PROCESSING', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, des: { keywords: [ 'data engineering services', 'Data Engineering Services', 'DATA ENGINEERING SERVICES', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, td: { keywords: [ 'training data', 'Training Data', 'training Data', 'TRAINING DATA', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, ias: { keywords: [ 'image annotation services', 'Image annotation services', 'image Annotation services', 'image annotation Services', 'Image Annotation Services', 'IMAGE ANNOTATION SERVICES', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, l: { keywords: [ 'labeling', 'labelling', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, pbp: { keywords: [ 'previous blog posts', 'previous blog post', 'latest', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, mlc: { keywords: [ 'machine learning course', 'machine learning class', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, }; //Articles to skip let articleIdsToSkip = ['post-2651', 'post-3414', 'post-3540']; //keyword with its related achortag is recieved here along with article id function searchAndReplace(keyword, anchorTag, articleId) { //selects the h3 h4 and p tags that are inside of the article let content = document.querySelector(`#${articleId} .entry-content`); //replaces the "linktext" in achor tag with the keyword that will be searched and replaced let newLink = anchorTag.replace('linktext', keyword); //regular expression to search keyword var re = new RegExp('(' + keyword + ')', 'g'); //this replaces the keywords in h3 h4 and p tags content with achor tag content.innerHTML = content.innerHTML.replace(re, newLink); } function articleFilter(keyword, anchorTag) { //gets all the articles var articles = document.querySelectorAll('article'); //if its zero or less then there are no articles if (articles.length > 0) { for (let x = 0; x < articles.length; x++) { //articles to skip is an array in which there are ids of articles which should not get effected //if the current article's id is also in that array then do not call search and replace with its data if (!articleIdsToSkip.includes(articles[x].id)) { //search and replace is called on articles which should get effected searchAndReplace(keyword, anchorTag, articles[x].id, key); } else { console.log( `Cannot replace the keywords in article with id ${articles[x].id}` ); } } } else { console.log('No articles found.'); } } let key; //not part of script, added for (key in keywordsAndLinks) { //key is the object in keywords and links object i.e ds, ml, ai for (let i = 0; i < keywordsAndLinks[key].keywords.length; i++) { //keywordsAndLinks[key].keywords is the array of keywords for key (ds, ml, ai) //keywordsAndLinks[key].keywords[i] is the keyword and keywordsAndLinks[key].link is the link //keyword and link is sent to searchreplace where it is then replaced using regular expression and replace function articleFilter( keywordsAndLinks[key].keywords[i], keywordsAndLinks[key].link ); } } function cleanLinks() { // (making smal functions is for DRY) this function gets the links and only keeps the first 2 and from the rest removes the anchor tag and replaces it with its text function removeLinks(links) { if (links.length > 1) { for (let i = 2; i < links.length; i++) { links[i].outerHTML = links[i].textContent; } } } //arrays which will contain all the achor tags found with the class (ds-link, ml-link, ailink) in each article inserted using search and replace let dslinks; let mllinks; let ailinks; let nllinks; let deslinks; let tdlinks; let iaslinks; let llinks; let pbplinks; let mlclinks; const content = document.querySelectorAll('article'); //all articles content.forEach((c) => { //to skip the articles with specific ids if (!articleIdsToSkip.includes(c.id)) { //getting all the anchor tags in each article one by one dslinks = document.querySelectorAll(`#${c.id} .entry-content a.ds-link`); mllinks = document.querySelectorAll(`#${c.id} .entry-content a.ml-link`); ailinks = document.querySelectorAll(`#${c.id} .entry-content a.ai-link`); nllinks = document.querySelectorAll(`#${c.id} .entry-content a.ntrl-link`); deslinks = document.querySelectorAll(`#${c.id} .entry-content a.des-link`); tdlinks = document.querySelectorAll(`#${c.id} .entry-content a.td-link`); iaslinks = document.querySelectorAll(`#${c.id} .entry-content a.ias-link`); mlclinks = document.querySelectorAll(`#${c.id} .entry-content a.mlc-link`); llinks = document.querySelectorAll(`#${c.id} .entry-content a.l-link`); pbplinks = document.querySelectorAll(`#${c.id} .entry-content a.pbp-link`); //sending the anchor tags list of each article one by one to remove extra anchor tags removeLinks(dslinks); removeLinks(mllinks); removeLinks(ailinks); removeLinks(nllinks); removeLinks(deslinks); removeLinks(tdlinks); removeLinks(iaslinks); removeLinks(mlclinks); removeLinks(llinks); removeLinks(pbplinks); } }); } //To remove extra achor tags of each category (ds, ml, ai) and only have 2 of each category per article cleanLinks(); */ //Recommended Articles var ctaLinks = [ /* ' ' + '

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',*/ ]; var replaceText = { '': '', '': '', '
': '
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', }; Object.keys(replaceText).forEach((txtorig) => { //txtorig is the key in replacetext object const txtnew = replaceText[txtorig]; //txtnew is the value of the key in replacetext object let entryFooter = document.querySelector('article .entry-footer'); if (document.querySelectorAll('.single-post').length > 0) { //console.log('Article found.'); const text = entryFooter.innerHTML; entryFooter.innerHTML = text.replace(txtorig, txtnew); } else { // console.log('Article not found.'); //removing comment 09/04/24 } }); var css = document.createElement('style'); css.type = 'text/css'; css.innerHTML = '.post-tags { display:none !important } .article-cta a { font-size: 18px; }'; document.body.appendChild(css); //Extra //This function adds some accessibility needs to the site. function addAlly() { // In this function JQuery is replaced with vanilla javascript functions const imgCont = document.querySelector('.uw-imgcont'); imgCont.setAttribute('aria-label', 'AI news, latest developments'); imgCont.title = 'AI news, latest developments'; imgCont.rel = 'noopener'; document.querySelector('.page-mobile-menu-logo a').title = 'Towards AI Home'; document.querySelector('a.social-link').rel = 'noopener'; document.querySelector('a.uw-text').rel = 'noopener'; document.querySelector('a.uw-w-branding').rel = 'noopener'; document.querySelector('.blog h2.heading').innerHTML = 'Publication'; const popupSearch = document.querySelector$('a.btn-open-popup-search'); popupSearch.setAttribute('role', 'button'); popupSearch.title = 'Search'; const searchClose = document.querySelector('a.popup-search-close'); searchClose.setAttribute('role', 'button'); searchClose.title = 'Close search page'; // document // .querySelector('a.btn-open-popup-search') // .setAttribute( // 'href', // 'https://medium.com/towards-artificial-intelligence/search' // ); } // Add external attributes to 302 sticky and editorial links function extLink() { // Sticky 302 links, this fuction opens the link we send to Medium on a new tab and adds a "noopener" rel to them var stickyLinks = document.querySelectorAll('.grid-item.sticky a'); for (var i = 0; i < stickyLinks.length; i++) { /* stickyLinks[i].setAttribute('target', '_blank'); stickyLinks[i].setAttribute('rel', 'noopener'); */ } // Editorial 302 links, same here var editLinks = document.querySelectorAll( '.grid-item.category-editorial a' ); for (var i = 0; i < editLinks.length; i++) { editLinks[i].setAttribute('target', '_blank'); editLinks[i].setAttribute('rel', 'noopener'); } } // Add current year to copyright notices document.getElementById( 'js-current-year' ).textContent = new Date().getFullYear(); // Call functions after page load extLink(); //addAlly(); setTimeout(function() { //addAlly(); //ideally we should only need to run it once ↑ }, 5000); }; function closeCookieDialog (){ document.getElementById("cookie-consent").style.display = "none"; return false; } setTimeout ( function () { closeCookieDialog(); }, 15000); console.log(`%c 🚀🚀🚀 ███ █████ ███████ █████████ ███████████ █████████████ ███████████████ ███████ ███████ ███████ ┌───────────────────────────────────────────────────────────────────┐ │ │ │ Towards AI is looking for contributors! │ │ Join us in creating awesome AI content. │ │ Let's build the future of AI together → │ │ https://towardsai.net/contribute │ │ │ └───────────────────────────────────────────────────────────────────┘ `, `background: ; color: #00adff; font-size: large`); //Remove latest category across site document.querySelectorAll('a[rel="category tag"]').forEach(function(el) { if (el.textContent.trim() === 'Latest') { // Remove the two consecutive spaces (  ) if (el.nextSibling && el.nextSibling.nodeValue.includes('\u00A0\u00A0')) { el.nextSibling.nodeValue = ''; // Remove the spaces } el.style.display = 'none'; // Hide the element } }); // Add cross-domain measurement, anonymize IPs 'use strict'; //var ga = gtag; ga('config', 'G-9D3HKKFV1Q', 'auto', { /*'allowLinker': true,*/ 'anonymize_ip': true/*, 'linker': { 'domains': [ 'medium.com/towards-artificial-intelligence', 'datasets.towardsai.net', 'rss.towardsai.net', 'feed.towardsai.net', 'contribute.towardsai.net', 'members.towardsai.net', 'pub.towardsai.net', 'news.towardsai.net' ] } */ }); ga('send', 'pageview'); -->