{"id":7851,"date":"2025-11-27T16:00:24","date_gmt":"2025-11-27T16:00:24","guid":{"rendered":"https:\/\/uplatz.com\/blog\/?p=7851"},"modified":"2025-11-27T16:00:24","modified_gmt":"2025-11-27T16:00:24","slug":"multimodal-models-gpt-4v-gemini-llava-explained","status":"publish","type":"post","link":"https:\/\/uplatz.com\/blog\/multimodal-models-gpt-4v-gemini-llava-explained\/","title":{"rendered":"Multimodal Models (GPT-4V, Gemini, LLaVA) Explained"},"content":{"rendered":"<h1 data-start=\"716\" data-end=\"815\"><strong data-start=\"718\" data-end=\"815\">Multimodal Models (GPT-4V, Gemini, LLaVA): The Future of AI That Sees, Reads, and Understands<\/strong><\/h1>\n<p data-start=\"817\" data-end=\"1063\">Artificial Intelligence no longer understands only text. Today\u2019s most powerful AI systems can <strong data-start=\"911\" data-end=\"1011\">see images, read documents, understand videos, hear audio, and reason across all of them at once<\/strong>. These systems are called <strong data-start=\"1038\" data-end=\"1062\">Multimodal AI models<\/strong>.<\/p>\n<p data-start=\"1065\" data-end=\"1346\">Models like <strong data-start=\"1077\" data-end=\"1087\">GPT-4V<\/strong>, <strong data-start=\"1089\" data-end=\"1099\">Gemini<\/strong>, and <strong data-start=\"1105\" data-end=\"1114\">LLaVA<\/strong> are leading this transformation. They allow humans to interact with AI using multiple input formats instead of plain text alone. This shift is changing healthcare, education, manufacturing, robotics, research, and customer support.<\/p>\n<p data-start=\"1348\" data-end=\"1590\"><strong data-start=\"1348\" data-end=\"1453\">\ud83d\udc49 To master Multimodal AI, Computer Vision, and enterprise AI deployment, explore our courses below:<\/strong><br data-start=\"1453\" data-end=\"1456\" \/>\ud83d\udd17 <em data-start=\"1459\" data-end=\"1475\">Internal Link:<\/em>\u00a0<a href=\"https:\/\/uplatz.com\/course-details\/interview-questions-python\/341\">https:\/\/uplatz.com\/course-details\/interview-questions-python\/341<\/a><br data-start=\"1540\" data-end=\"1543\" \/>\ud83d\udd17 <em data-start=\"1546\" data-end=\"1567\">Outbound Reference:<\/em> <a class=\"decorated-link\" href=\"https:\/\/ai.google.dev\/\" target=\"_new\" rel=\"noopener\" data-start=\"1568\" data-end=\"1590\">https:\/\/ai.google.dev\/<\/a><\/p>\n<hr data-start=\"1592\" data-end=\"1595\" \/>\n<h2 data-start=\"1597\" data-end=\"1637\"><strong data-start=\"1600\" data-end=\"1637\">1. What Are Multimodal AI Models?<\/strong><\/h2>\n<p data-start=\"1639\" data-end=\"1729\">A <strong data-start=\"1641\" data-end=\"1661\">multimodal model<\/strong> can process and reason across <strong data-start=\"1692\" data-end=\"1719\">more than one data type<\/strong>, such as:<\/p>\n<ul data-start=\"1731\" data-end=\"1795\">\n<li data-start=\"1731\" data-end=\"1739\">\n<p data-start=\"1733\" data-end=\"1739\">Text<\/p>\n<\/li>\n<li data-start=\"1740\" data-end=\"1750\">\n<p data-start=\"1742\" data-end=\"1750\">Images<\/p>\n<\/li>\n<li data-start=\"1751\" data-end=\"1760\">\n<p data-start=\"1753\" data-end=\"1760\">Audio<\/p>\n<\/li>\n<li data-start=\"1761\" data-end=\"1770\">\n<p data-start=\"1763\" data-end=\"1770\">Video<\/p>\n<\/li>\n<li data-start=\"1771\" data-end=\"1779\">\n<p data-start=\"1773\" data-end=\"1779\">Code<\/p>\n<\/li>\n<li data-start=\"1780\" data-end=\"1795\">\n<p data-start=\"1782\" data-end=\"1795\">Sensor data<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1797\" data-end=\"1941\">Instead of working in isolation, these models combine all inputs into a <strong data-start=\"1869\" data-end=\"1899\">shared understanding space<\/strong>. This allows AI to answer questions like:<\/p>\n<ul data-start=\"1943\" data-end=\"2095\">\n<li data-start=\"1943\" data-end=\"1981\">\n<p data-start=\"1945\" data-end=\"1981\">\u201cWhat is happening in this image?\u201d<\/p>\n<\/li>\n<li data-start=\"1982\" data-end=\"2007\">\n<p data-start=\"1984\" data-end=\"2007\">\u201cExplain this chart.\u201d<\/p>\n<\/li>\n<li data-start=\"2008\" data-end=\"2035\">\n<p data-start=\"2010\" data-end=\"2035\">\u201cSummarise this video.\u201d<\/p>\n<\/li>\n<li data-start=\"2036\" data-end=\"2062\">\n<p data-start=\"2038\" data-end=\"2062\">\u201cDiagnose this X-ray.\u201d<\/p>\n<\/li>\n<li data-start=\"2063\" data-end=\"2095\">\n<p data-start=\"2065\" data-end=\"2095\">\u201cDescribe this product photo.\u201d<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2097\" data-end=\"2192\">Multimodal AI mimics <strong data-start=\"2118\" data-end=\"2138\">human perception<\/strong>, which naturally combines sight, sound, and language.<\/p>\n<hr data-start=\"2194\" data-end=\"2197\" \/>\n<h2 data-start=\"2199\" data-end=\"2248\"><strong data-start=\"2202\" data-end=\"2248\">2. Why Multimodal AI Is a Big Breakthrough<\/strong><\/h2>\n<p data-start=\"2250\" data-end=\"2424\">Traditional AI systems are <strong data-start=\"2277\" data-end=\"2295\">single-channel<\/strong>. One model reads text. Another model sees images. Another handles audio. These separate systems struggle to share understanding.<\/p>\n<p data-start=\"2426\" data-end=\"2466\">Multimodal models solve this problem by:<\/p>\n<ul data-start=\"2468\" data-end=\"2625\">\n<li data-start=\"2468\" data-end=\"2502\">\n<p data-start=\"2470\" data-end=\"2502\">\u2705 Linking vision with language<\/p>\n<\/li>\n<li data-start=\"2503\" data-end=\"2541\">\n<p data-start=\"2505\" data-end=\"2541\">\u2705 Connecting speech with reasoning<\/p>\n<\/li>\n<li data-start=\"2542\" data-end=\"2582\">\n<p data-start=\"2544\" data-end=\"2582\">\u2705 Merging diagrams with explanations<\/p>\n<\/li>\n<li data-start=\"2583\" data-end=\"2625\">\n<p data-start=\"2585\" data-end=\"2625\">\u2705 Understanding context across formats<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2627\" data-end=\"2699\">This allows AI to understand the world <strong data-start=\"2666\" data-end=\"2698\">more like a human brain does<\/strong>.<\/p>\n<hr data-start=\"2701\" data-end=\"2704\" \/>\n<h2 data-start=\"2706\" data-end=\"2762\"><strong data-start=\"2709\" data-end=\"2762\">3. GPT-4V: Vision-Enabled Generative Intelligence<\/strong><\/h2>\n<p data-start=\"2764\" data-end=\"2966\"><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">GPT-4V<\/span><\/span> is the vision-enabled version of GPT-4 developed by <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">OpenAI<\/span><\/span>. It can understand images and generate detailed text responses about them.<\/p>\n<hr data-start=\"2968\" data-end=\"2971\" \/>\n<h3 data-start=\"2973\" data-end=\"3003\"><strong data-start=\"2977\" data-end=\"3003\">3.1 What GPT-4V Can Do<\/strong><\/h3>\n<p data-start=\"3005\" data-end=\"3016\">GPT-4V can:<\/p>\n<ul data-start=\"3018\" data-end=\"3204\">\n<li data-start=\"3018\" data-end=\"3047\">\n<p data-start=\"3020\" data-end=\"3047\">Describe images in detail<\/p>\n<\/li>\n<li data-start=\"3048\" data-end=\"3079\">\n<p data-start=\"3050\" data-end=\"3079\">Read text from images (OCR)<\/p>\n<\/li>\n<li data-start=\"3080\" data-end=\"3109\">\n<p data-start=\"3082\" data-end=\"3109\">Explain charts and graphs<\/p>\n<\/li>\n<li data-start=\"3110\" data-end=\"3140\">\n<p data-start=\"3112\" data-end=\"3140\">Detect objects and layouts<\/p>\n<\/li>\n<li data-start=\"3141\" data-end=\"3179\">\n<p data-start=\"3143\" data-end=\"3179\">Analyse screenshots and UI designs<\/p>\n<\/li>\n<li data-start=\"3180\" data-end=\"3204\">\n<p data-start=\"3182\" data-end=\"3204\">Solve visual puzzles<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3206\" data-end=\"3282\">It brings <strong data-start=\"3216\" data-end=\"3281\">computer vision and language generation together in one model<\/strong>.<\/p>\n<hr data-start=\"3284\" data-end=\"3287\" \/>\n<h3 data-start=\"3289\" data-end=\"3326\"><strong data-start=\"3293\" data-end=\"3326\">3.2 Real-World Uses of GPT-4V<\/strong><\/h3>\n<ul data-start=\"3328\" data-end=\"3543\">\n<li data-start=\"3328\" data-end=\"3365\">\n<p data-start=\"3330\" data-end=\"3365\">Medical image explanation support<\/p>\n<\/li>\n<li data-start=\"3366\" data-end=\"3404\">\n<p data-start=\"3368\" data-end=\"3404\">Educational diagram interpretation<\/p>\n<\/li>\n<li data-start=\"3405\" data-end=\"3437\">\n<p data-start=\"3407\" data-end=\"3437\">UI testing and bug detection<\/p>\n<\/li>\n<li data-start=\"3438\" data-end=\"3477\">\n<p data-start=\"3440\" data-end=\"3477\">Accessibility tools for blind users<\/p>\n<\/li>\n<li data-start=\"3478\" data-end=\"3504\">\n<p data-start=\"3480\" data-end=\"3504\">Product image analysis<\/p>\n<\/li>\n<li data-start=\"3505\" data-end=\"3543\">\n<p data-start=\"3507\" data-end=\"3543\">Engineering drawing interpretation<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"3545\" data-end=\"3548\" \/>\n<h2 data-start=\"3550\" data-end=\"3598\"><strong data-start=\"3553\" data-end=\"3598\">4. Gemini: Native Multimodal Intelligence<\/strong><\/h2>\n<p data-start=\"3600\" data-end=\"3802\"><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Gemini<\/span><\/span> is the flagship multimodal AI system developed by <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Google<\/span><\/span>. Gemini was designed as <strong data-start=\"3750\" data-end=\"3783\">multimodal from the ground up<\/strong>, not as an add-on.<\/p>\n<hr data-start=\"3804\" data-end=\"3807\" \/>\n<h3 data-start=\"3809\" data-end=\"3848\"><strong data-start=\"3813\" data-end=\"3848\">4.1 What Makes Gemini Different<\/strong><\/h3>\n<p data-start=\"3850\" data-end=\"3869\">Gemini can process:<\/p>\n<ul data-start=\"3871\" data-end=\"3919\">\n<li data-start=\"3871\" data-end=\"3879\">\n<p data-start=\"3873\" data-end=\"3879\">Text<\/p>\n<\/li>\n<li data-start=\"3880\" data-end=\"3890\">\n<p data-start=\"3882\" data-end=\"3890\">Images<\/p>\n<\/li>\n<li data-start=\"3891\" data-end=\"3900\">\n<p data-start=\"3893\" data-end=\"3900\">Audio<\/p>\n<\/li>\n<li data-start=\"3901\" data-end=\"3910\">\n<p data-start=\"3903\" data-end=\"3910\">Video<\/p>\n<\/li>\n<li data-start=\"3911\" data-end=\"3919\">\n<p data-start=\"3913\" data-end=\"3919\">Code<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3921\" data-end=\"3974\">All <strong data-start=\"3925\" data-end=\"3954\">in a single unified model<\/strong>. This allows it to:<\/p>\n<ul data-start=\"3976\" data-end=\"4137\">\n<li data-start=\"3976\" data-end=\"4010\">\n<p data-start=\"3978\" data-end=\"4010\">Watch a video and summarise it<\/p>\n<\/li>\n<li data-start=\"4011\" data-end=\"4052\">\n<p data-start=\"4013\" data-end=\"4052\">Read a document and explain a diagram<\/p>\n<\/li>\n<li data-start=\"4053\" data-end=\"4101\">\n<p data-start=\"4055\" data-end=\"4101\">Analyse audio and link it to visual evidence<\/p>\n<\/li>\n<li data-start=\"4102\" data-end=\"4137\">\n<p data-start=\"4104\" data-end=\"4137\">Debug code shown in screenshots<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"4139\" data-end=\"4142\" \/>\n<h3 data-start=\"4144\" data-end=\"4182\"><strong data-start=\"4148\" data-end=\"4182\">4.2 Gemini in Google Ecosystem<\/strong><\/h3>\n<p data-start=\"4184\" data-end=\"4198\">Gemini powers:<\/p>\n<ul data-start=\"4200\" data-end=\"4336\">\n<li data-start=\"4200\" data-end=\"4217\">\n<p data-start=\"4202\" data-end=\"4217\">Google Search<\/p>\n<\/li>\n<li data-start=\"4218\" data-end=\"4247\">\n<p data-start=\"4220\" data-end=\"4247\">Google Docs and Workspace<\/p>\n<\/li>\n<li data-start=\"4248\" data-end=\"4280\">\n<p data-start=\"4250\" data-end=\"4280\">AI-assisted YouTube analysis<\/p>\n<\/li>\n<li data-start=\"4281\" data-end=\"4306\">\n<p data-start=\"4283\" data-end=\"4306\">Educational platforms<\/p>\n<\/li>\n<li data-start=\"4307\" data-end=\"4336\">\n<p data-start=\"4309\" data-end=\"4336\">Scientific research tools<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4338\" data-end=\"4406\">It supports <strong data-start=\"4350\" data-end=\"4405\">real-time multimodal intelligence at Internet scale<\/strong>.<\/p>\n<hr data-start=\"4408\" data-end=\"4411\" \/>\n<h2 data-start=\"4413\" data-end=\"4462\"><strong data-start=\"4416\" data-end=\"4462\">5. LLaVA: The Open-Source Multimodal Model<\/strong><\/h2>\n<p data-start=\"4464\" data-end=\"4605\"><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">LLaVA<\/span><\/span> (Large Language and Vision Assistant) is an <strong data-start=\"4546\" data-end=\"4578\">open-source multimodal model<\/strong> built on top of open LLMs.<\/p>\n<p data-start=\"4607\" data-end=\"4622\">LLaVA combines:<\/p>\n<ul data-start=\"4624\" data-end=\"4702\">\n<li data-start=\"4624\" data-end=\"4644\">\n<p data-start=\"4626\" data-end=\"4644\">A vision encoder<\/p>\n<\/li>\n<li data-start=\"4645\" data-end=\"4665\">\n<p data-start=\"4647\" data-end=\"4665\">A language model<\/p>\n<\/li>\n<li data-start=\"4666\" data-end=\"4702\">\n<p data-start=\"4668\" data-end=\"4702\">A projection layer for alignment<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4704\" data-end=\"4835\">This allows it to understand images and respond in natural language, similar to GPT-4V but in an <strong data-start=\"4801\" data-end=\"4834\">open research-friendly format<\/strong>.<\/p>\n<hr data-start=\"4837\" data-end=\"4840\" \/>\n<h3 data-start=\"4842\" data-end=\"4876\"><strong data-start=\"4846\" data-end=\"4876\">5.1 Why LLaVA Is Important<\/strong><\/h3>\n<ul data-start=\"4878\" data-end=\"5031\">\n<li data-start=\"4878\" data-end=\"4901\">\n<p data-start=\"4880\" data-end=\"4901\">\u2705 Fully open-source<\/p>\n<\/li>\n<li data-start=\"4902\" data-end=\"4934\">\n<p data-start=\"4904\" data-end=\"4934\">\u2705 Can run on private servers<\/p>\n<\/li>\n<li data-start=\"4935\" data-end=\"4978\">\n<p data-start=\"4937\" data-end=\"4978\">\u2705 Supports research and experimentation<\/p>\n<\/li>\n<li data-start=\"4979\" data-end=\"5002\">\n<p data-start=\"4981\" data-end=\"5002\">\u2705 Can be fine-tuned<\/p>\n<\/li>\n<li data-start=\"5003\" data-end=\"5031\">\n<p data-start=\"5005\" data-end=\"5031\">\u2705 Works with RAG systems<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"5033\" data-end=\"5129\">LLaVA brings multimodal AI to <strong data-start=\"5063\" data-end=\"5105\">developers, startups, and universities<\/strong> without expensive APIs.<\/p>\n<hr data-start=\"5131\" data-end=\"5134\" \/>\n<h2 data-start=\"5136\" data-end=\"5172\"><strong data-start=\"5139\" data-end=\"5172\">6. How Multimodal Models Work<\/strong><\/h2>\n<p data-start=\"5174\" data-end=\"5227\">Multimodal systems rely on <strong data-start=\"5201\" data-end=\"5226\">three main components<\/strong>:<\/p>\n<hr data-start=\"5229\" data-end=\"5232\" \/>\n<h3 data-start=\"5234\" data-end=\"5263\"><strong data-start=\"5238\" data-end=\"5263\">6.1 Modality Encoders<\/strong><\/h3>\n<p data-start=\"5265\" data-end=\"5301\">Each input type has its own encoder:<\/p>\n<ul data-start=\"5303\" data-end=\"5385\">\n<li data-start=\"5303\" data-end=\"5330\">\n<p data-start=\"5305\" data-end=\"5330\">Vision encoder \u2192 images<\/p>\n<\/li>\n<li data-start=\"5331\" data-end=\"5357\">\n<p data-start=\"5333\" data-end=\"5357\">Speech encoder \u2192 audio<\/p>\n<\/li>\n<li data-start=\"5358\" data-end=\"5385\">\n<p data-start=\"5360\" data-end=\"5385\">Text encoder \u2192 language<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"5387\" data-end=\"5442\">These convert raw inputs into <strong data-start=\"5417\" data-end=\"5441\">numerical embeddings<\/strong>.<\/p>\n<hr data-start=\"5444\" data-end=\"5447\" \/>\n<h3 data-start=\"5449\" data-end=\"5480\"><strong data-start=\"5453\" data-end=\"5480\">6.2 Shared Fusion Layer<\/strong><\/h3>\n<p data-start=\"5482\" data-end=\"5573\">This layer merges all embeddings into a <strong data-start=\"5522\" data-end=\"5547\">single semantic space<\/strong>, where reasoning happens.<\/p>\n<hr data-start=\"5575\" data-end=\"5578\" \/>\n<h3 data-start=\"5580\" data-end=\"5618\"><strong data-start=\"5584\" data-end=\"5618\">6.3 Decoder \/ Reasoning Engine<\/strong><\/h3>\n<p data-start=\"5620\" data-end=\"5646\">The final layer generates:<\/p>\n<ul data-start=\"5648\" data-end=\"5709\">\n<li data-start=\"5648\" data-end=\"5666\">\n<p data-start=\"5650\" data-end=\"5666\">Text responses<\/p>\n<\/li>\n<li data-start=\"5667\" data-end=\"5686\">\n<p data-start=\"5669\" data-end=\"5686\">Action commands<\/p>\n<\/li>\n<li data-start=\"5687\" data-end=\"5709\">\n<p data-start=\"5689\" data-end=\"5709\">Structured outputs<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"5711\" data-end=\"5788\">This design is built on the <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Transformer<\/span><\/span> foundation.<\/p>\n<hr data-start=\"5790\" data-end=\"5793\" \/>\n<h2 data-start=\"5795\" data-end=\"5846\"><strong data-start=\"5798\" data-end=\"5846\">7. Multimodal AI vs Traditional Text-Only AI<\/strong><\/h2>\n<div class=\"_tableContainer_1rjym_1\">\n<div class=\"group _tableWrapper_1rjym_13 flex w-fit flex-col-reverse\" tabindex=\"-1\">\n<table class=\"w-fit min-w-(--thread-content-width)\" data-start=\"5848\" data-end=\"6179\">\n<thead data-start=\"5848\" data-end=\"5892\">\n<tr data-start=\"5848\" data-end=\"5892\">\n<th data-start=\"5848\" data-end=\"5858\" data-col-size=\"sm\">Feature<\/th>\n<th data-start=\"5858\" data-end=\"5874\" data-col-size=\"sm\">Text-Only LLM<\/th>\n<th data-start=\"5874\" data-end=\"5892\" data-col-size=\"sm\">Multimodal LLM<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"5938\" data-end=\"6179\">\n<tr data-start=\"5938\" data-end=\"5993\">\n<td data-start=\"5938\" data-end=\"5952\" data-col-size=\"sm\">Input Types<\/td>\n<td data-start=\"5952\" data-end=\"5964\" data-col-size=\"sm\">Text only<\/td>\n<td data-start=\"5964\" data-end=\"5993\" data-col-size=\"sm\">Text, Image, Audio, Video<\/td>\n<\/tr>\n<tr data-start=\"5994\" data-end=\"6029\">\n<td data-start=\"5994\" data-end=\"6013\" data-col-size=\"sm\">Visual Reasoning<\/td>\n<td data-start=\"6013\" data-end=\"6020\" data-col-size=\"sm\">\u274c No<\/td>\n<td data-start=\"6020\" data-end=\"6029\" data-col-size=\"sm\">\u2705 Yes<\/td>\n<\/tr>\n<tr data-start=\"6030\" data-end=\"6070\">\n<td data-start=\"6030\" data-end=\"6054\" data-col-size=\"sm\">Diagram Understanding<\/td>\n<td data-start=\"6054\" data-end=\"6061\" data-col-size=\"sm\">\u274c No<\/td>\n<td data-start=\"6061\" data-end=\"6070\" data-col-size=\"sm\">\u2705 Yes<\/td>\n<\/tr>\n<tr data-start=\"6071\" data-end=\"6105\">\n<td data-start=\"6071\" data-end=\"6089\" data-col-size=\"sm\">Medical Imaging<\/td>\n<td data-start=\"6089\" data-end=\"6096\" data-col-size=\"sm\">\u274c No<\/td>\n<td data-start=\"6096\" data-end=\"6105\" data-col-size=\"sm\">\u2705 Yes<\/td>\n<\/tr>\n<tr data-start=\"6106\" data-end=\"6140\">\n<td data-start=\"6106\" data-end=\"6124\" data-col-size=\"sm\">Robotics Vision<\/td>\n<td data-start=\"6124\" data-end=\"6131\" data-col-size=\"sm\">\u274c No<\/td>\n<td data-start=\"6131\" data-end=\"6140\" data-col-size=\"sm\">\u2705 Yes<\/td>\n<\/tr>\n<tr data-start=\"6141\" data-end=\"6179\">\n<td data-start=\"6141\" data-end=\"6165\" data-col-size=\"sm\">Real-World Perception<\/td>\n<td data-start=\"6165\" data-end=\"6171\" data-col-size=\"sm\">Low<\/td>\n<td data-start=\"6171\" data-end=\"6179\" data-col-size=\"sm\">High<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p data-start=\"6181\" data-end=\"6241\">Multimodal AI moves AI <strong data-start=\"6204\" data-end=\"6240\">closer to human-level perception<\/strong>.<\/p>\n<hr data-start=\"6243\" data-end=\"6246\" \/>\n<h2 data-start=\"6248\" data-end=\"6299\"><strong data-start=\"6251\" data-end=\"6299\">8. Real-World Use Cases of Multimodal Models<\/strong><\/h2>\n<hr data-start=\"6301\" data-end=\"6304\" \/>\n<h3 data-start=\"6306\" data-end=\"6346\"><strong data-start=\"6310\" data-end=\"6346\">8.1 Healthcare &amp; Medical Imaging<\/strong><\/h3>\n<ul data-start=\"6348\" data-end=\"6474\">\n<li data-start=\"6348\" data-end=\"6377\">\n<p data-start=\"6350\" data-end=\"6377\">X-ray and MRI explanation<\/p>\n<\/li>\n<li data-start=\"6378\" data-end=\"6406\">\n<p data-start=\"6380\" data-end=\"6406\">Visual diagnosis support<\/p>\n<\/li>\n<li data-start=\"6407\" data-end=\"6439\">\n<p data-start=\"6409\" data-end=\"6439\">Medical report summarisation<\/p>\n<\/li>\n<li data-start=\"6440\" data-end=\"6474\">\n<p data-start=\"6442\" data-end=\"6474\">Pathology slide interpretation<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"6476\" data-end=\"6479\" \/>\n<h3 data-start=\"6481\" data-end=\"6515\"><strong data-start=\"6485\" data-end=\"6515\">8.2 Education &amp; E-Learning<\/strong><\/h3>\n<ul data-start=\"6517\" data-end=\"6634\">\n<li data-start=\"6517\" data-end=\"6543\">\n<p data-start=\"6519\" data-end=\"6543\">Diagram-based tutoring<\/p>\n<\/li>\n<li data-start=\"6544\" data-end=\"6574\">\n<p data-start=\"6546\" data-end=\"6574\">Video lesson summarisation<\/p>\n<\/li>\n<li data-start=\"6575\" data-end=\"6610\">\n<p data-start=\"6577\" data-end=\"6610\">Handwritten formula recognition<\/p>\n<\/li>\n<li data-start=\"6611\" data-end=\"6634\">\n<p data-start=\"6613\" data-end=\"6634\">Visual exam grading<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"6636\" data-end=\"6639\" \/>\n<h3 data-start=\"6641\" data-end=\"6677\"><strong data-start=\"6645\" data-end=\"6677\">8.3 Manufacturing &amp; Industry<\/strong><\/h3>\n<ul data-start=\"6679\" data-end=\"6788\">\n<li data-start=\"6679\" data-end=\"6713\">\n<p data-start=\"6681\" data-end=\"6713\">Quality inspection from images<\/p>\n<\/li>\n<li data-start=\"6714\" data-end=\"6734\">\n<p data-start=\"6716\" data-end=\"6734\">Defect detection<\/p>\n<\/li>\n<li data-start=\"6735\" data-end=\"6759\">\n<p data-start=\"6737\" data-end=\"6759\">Equipment monitoring<\/p>\n<\/li>\n<li data-start=\"6760\" data-end=\"6788\">\n<p data-start=\"6762\" data-end=\"6788\">Safety compliance checks<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"6790\" data-end=\"6793\" \/>\n<h3 data-start=\"6795\" data-end=\"6826\"><strong data-start=\"6799\" data-end=\"6826\">8.4 Retail &amp; E-Commerce<\/strong><\/h3>\n<ul data-start=\"6828\" data-end=\"6919\">\n<li data-start=\"6828\" data-end=\"6854\">\n<p data-start=\"6830\" data-end=\"6854\">Product photo analysis<\/p>\n<\/li>\n<li data-start=\"6855\" data-end=\"6872\">\n<p data-start=\"6857\" data-end=\"6872\">Visual search<\/p>\n<\/li>\n<li data-start=\"6873\" data-end=\"6898\">\n<p data-start=\"6875\" data-end=\"6898\">Outfit recommendation<\/p>\n<\/li>\n<li data-start=\"6899\" data-end=\"6919\">\n<p data-start=\"6901\" data-end=\"6919\">Damage detection<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"6921\" data-end=\"6924\" \/>\n<h3 data-start=\"6926\" data-end=\"6967\"><strong data-start=\"6930\" data-end=\"6967\">8.5 Autonomous Systems &amp; Robotics<\/strong><\/h3>\n<ul data-start=\"6969\" data-end=\"7059\">\n<li data-start=\"6969\" data-end=\"6989\">\n<p data-start=\"6971\" data-end=\"6989\">Object detection<\/p>\n<\/li>\n<li data-start=\"6990\" data-end=\"7017\">\n<p data-start=\"6992\" data-end=\"7017\">Navigation using vision<\/p>\n<\/li>\n<li data-start=\"7018\" data-end=\"7041\">\n<p data-start=\"7020\" data-end=\"7041\">Gesture recognition<\/p>\n<\/li>\n<li data-start=\"7042\" data-end=\"7059\">\n<p data-start=\"7044\" data-end=\"7059\">Sensor fusion<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"7061\" data-end=\"7064\" \/>\n<h2 data-start=\"7066\" data-end=\"7104\"><strong data-start=\"7069\" data-end=\"7104\">9. Multimodal AI in RAG Systems<\/strong><\/h2>\n<p data-start=\"7106\" data-end=\"7155\">Multimodal RAG extends classic RAG by retrieving:<\/p>\n<ul data-start=\"7157\" data-end=\"7205\">\n<li data-start=\"7157\" data-end=\"7167\">\n<p data-start=\"7159\" data-end=\"7167\">Images<\/p>\n<\/li>\n<li data-start=\"7168\" data-end=\"7180\">\n<p data-start=\"7170\" data-end=\"7180\">Diagrams<\/p>\n<\/li>\n<li data-start=\"7181\" data-end=\"7191\">\n<p data-start=\"7183\" data-end=\"7191\">Videos<\/p>\n<\/li>\n<li data-start=\"7192\" data-end=\"7205\">\n<p data-start=\"7194\" data-end=\"7205\">Documents<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"7207\" data-end=\"7311\">It allows AI to reason over <strong data-start=\"7235\" data-end=\"7288\">visual evidence + text knowledge at the same time<\/strong>. This is critical for:<\/p>\n<ul data-start=\"7313\" data-end=\"7426\">\n<li data-start=\"7313\" data-end=\"7340\">\n<p data-start=\"7315\" data-end=\"7340\">Legal evidence analysis<\/p>\n<\/li>\n<li data-start=\"7341\" data-end=\"7369\">\n<p data-start=\"7343\" data-end=\"7369\">Medical imaging research<\/p>\n<\/li>\n<li data-start=\"7370\" data-end=\"7399\">\n<p data-start=\"7372\" data-end=\"7399\">Engineering documentation<\/p>\n<\/li>\n<li data-start=\"7400\" data-end=\"7426\">\n<p data-start=\"7402\" data-end=\"7426\">Scientific experiments<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"7428\" data-end=\"7431\" \/>\n<h2 data-start=\"7433\" data-end=\"7478\"><strong data-start=\"7436\" data-end=\"7478\">10. Business Benefits of Multimodal AI<\/strong><\/h2>\n<ul data-start=\"7480\" data-end=\"7647\">\n<li data-start=\"7480\" data-end=\"7510\">\n<p data-start=\"7482\" data-end=\"7510\">\u2705 Less manual verification<\/p>\n<\/li>\n<li data-start=\"7511\" data-end=\"7539\">\n<p data-start=\"7513\" data-end=\"7539\">\u2705 Faster decision-making<\/p>\n<\/li>\n<li data-start=\"7540\" data-end=\"7561\">\n<p data-start=\"7542\" data-end=\"7561\">\u2705 Higher accuracy<\/p>\n<\/li>\n<li data-start=\"7562\" data-end=\"7590\">\n<p data-start=\"7564\" data-end=\"7590\">\u2705 Lower operational cost<\/p>\n<\/li>\n<li data-start=\"7591\" data-end=\"7614\">\n<p data-start=\"7593\" data-end=\"7614\">\u2705 Better automation<\/p>\n<\/li>\n<li data-start=\"7615\" data-end=\"7647\">\n<p data-start=\"7617\" data-end=\"7647\">\u2705 Richer customer experience<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"7649\" data-end=\"7723\">Multimodal AI turns unstructured visual data into <strong data-start=\"7699\" data-end=\"7722\">actionable insights<\/strong>.<\/p>\n<hr data-start=\"7725\" data-end=\"7728\" \/>\n<h2 data-start=\"7730\" data-end=\"7768\"><strong data-start=\"7733\" data-end=\"7768\">11. Challenges of Multimodal AI<\/strong><\/h2>\n<p data-start=\"7770\" data-end=\"7807\">Despite its power, limitations exist:<\/p>\n<h3 data-start=\"7809\" data-end=\"7837\">\u274c <strong data-start=\"7815\" data-end=\"7837\">High Training Cost<\/strong><\/h3>\n<p data-start=\"7838\" data-end=\"7878\">Vision + language training is expensive.<\/p>\n<h3 data-start=\"7880\" data-end=\"7911\">\u274c <strong data-start=\"7886\" data-end=\"7911\">Hardware Requirements<\/strong><\/h3>\n<p data-start=\"7912\" data-end=\"7953\">GPUs are required for inference at scale.<\/p>\n<h3 data-start=\"7955\" data-end=\"7989\">\u274c <strong data-start=\"7961\" data-end=\"7989\">Data Labeling Complexity<\/strong><\/h3>\n<p data-start=\"7990\" data-end=\"8029\">Multimodal datasets are hard to curate.<\/p>\n<h3 data-start=\"8031\" data-end=\"8059\">\u274c <strong data-start=\"8037\" data-end=\"8059\">Security &amp; Privacy<\/strong><\/h3>\n<p data-start=\"8060\" data-end=\"8094\">Images may contain sensitive data.<\/p>\n<h3 data-start=\"8096\" data-end=\"8113\">\u274c <strong data-start=\"8102\" data-end=\"8113\">Latency<\/strong><\/h3>\n<p data-start=\"8114\" data-end=\"8153\">Processing images and video adds delay.<\/p>\n<hr data-start=\"8155\" data-end=\"8158\" \/>\n<h2 data-start=\"8160\" data-end=\"8210\"><strong data-start=\"8163\" data-end=\"8210\">12. Open-Source vs Closed Multimodal Models<\/strong><\/h2>\n<div class=\"_tableContainer_1rjym_1\">\n<div class=\"group _tableWrapper_1rjym_13 flex w-fit flex-col-reverse\" tabindex=\"-1\">\n<table class=\"w-fit min-w-(--thread-content-width)\" data-start=\"8212\" data-end=\"8575\">\n<thead data-start=\"8212\" data-end=\"8278\">\n<tr data-start=\"8212\" data-end=\"8278\">\n<th data-start=\"8212\" data-end=\"8222\" data-col-size=\"sm\">Feature<\/th>\n<th data-start=\"8222\" data-end=\"8244\" data-col-size=\"sm\">Open Models (LLaVA)<\/th>\n<th data-start=\"8244\" data-end=\"8278\" data-col-size=\"sm\">Closed Models (GPT-4V, Gemini)<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"8345\" data-end=\"8575\">\n<tr data-start=\"8345\" data-end=\"8394\">\n<td data-start=\"8345\" data-end=\"8360\" data-col-size=\"sm\">Data Privacy<\/td>\n<td data-start=\"8360\" data-end=\"8375\" data-col-size=\"sm\">Full control<\/td>\n<td data-start=\"8375\" data-end=\"8394\" data-col-size=\"sm\">Cloud dependent<\/td>\n<\/tr>\n<tr data-start=\"8395\" data-end=\"8432\">\n<td data-start=\"8395\" data-end=\"8402\" data-col-size=\"sm\">Cost<\/td>\n<td data-start=\"8402\" data-end=\"8419\" data-col-size=\"sm\">Hardware based<\/td>\n<td data-col-size=\"sm\" data-start=\"8419\" data-end=\"8432\">API based<\/td>\n<\/tr>\n<tr data-start=\"8433\" data-end=\"8470\">\n<td data-start=\"8433\" data-end=\"8447\" data-col-size=\"sm\">Fine-Tuning<\/td>\n<td data-col-size=\"sm\" data-start=\"8447\" data-end=\"8459\">Unlimited<\/td>\n<td data-col-size=\"sm\" data-start=\"8459\" data-end=\"8470\">Limited<\/td>\n<\/tr>\n<tr data-start=\"8471\" data-end=\"8529\">\n<td data-start=\"8471\" data-end=\"8496\" data-col-size=\"sm\">Enterprise Integration<\/td>\n<td data-col-size=\"sm\" data-start=\"8496\" data-end=\"8511\">Self-managed<\/td>\n<td data-col-size=\"sm\" data-start=\"8511\" data-end=\"8529\">Vendor managed<\/td>\n<\/tr>\n<tr data-start=\"8530\" data-end=\"8575\">\n<td data-start=\"8530\" data-end=\"8549\" data-col-size=\"sm\">Research Freedom<\/td>\n<td data-start=\"8549\" data-end=\"8561\" data-col-size=\"sm\">Very high<\/td>\n<td data-col-size=\"sm\" data-start=\"8561\" data-end=\"8575\">Restricted<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p data-start=\"8577\" data-end=\"8627\">Many enterprises use <strong data-start=\"8598\" data-end=\"8626\">hybrid multimodal stacks<\/strong>.<\/p>\n<hr data-start=\"8629\" data-end=\"8632\" \/>\n<h2 data-start=\"8634\" data-end=\"8680\"><strong data-start=\"8637\" data-end=\"8680\">13. Multimodal AI in Smart Cities &amp; IoT<\/strong><\/h2>\n<p data-start=\"8682\" data-end=\"8711\">Cities use multimodal AI for:<\/p>\n<ul data-start=\"8713\" data-end=\"8818\">\n<li data-start=\"8713\" data-end=\"8733\">\n<p data-start=\"8715\" data-end=\"8733\">Traffic analysis<\/p>\n<\/li>\n<li data-start=\"8734\" data-end=\"8754\">\n<p data-start=\"8736\" data-end=\"8754\">Crowd monitoring<\/p>\n<\/li>\n<li data-start=\"8755\" data-end=\"8776\">\n<p data-start=\"8757\" data-end=\"8776\">CCTV intelligence<\/p>\n<\/li>\n<li data-start=\"8777\" data-end=\"8799\">\n<p data-start=\"8779\" data-end=\"8799\">Disaster detection<\/p>\n<\/li>\n<li data-start=\"8800\" data-end=\"8818\">\n<p data-start=\"8802\" data-end=\"8818\">Urban planning<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"8820\" data-end=\"8844\">These systems integrate:<\/p>\n<ul data-start=\"8846\" data-end=\"8905\">\n<li data-start=\"8846\" data-end=\"8856\">\n<p data-start=\"8848\" data-end=\"8856\">Vision<\/p>\n<\/li>\n<li data-start=\"8857\" data-end=\"8866\">\n<p data-start=\"8859\" data-end=\"8866\">Audio<\/p>\n<\/li>\n<li data-start=\"8867\" data-end=\"8882\">\n<p data-start=\"8869\" data-end=\"8882\">Sensor data<\/p>\n<\/li>\n<li data-start=\"8883\" data-end=\"8905\">\n<p data-start=\"8885\" data-end=\"8905\">Language reasoning<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"8907\" data-end=\"8910\" \/>\n<h2 data-start=\"8912\" data-end=\"8950\"><strong data-start=\"8915\" data-end=\"8950\">14. The Future of Multimodal AI<\/strong><\/h2>\n<p data-start=\"8952\" data-end=\"8985\">The next generation will include:<\/p>\n<ul data-start=\"8987\" data-end=\"9166\">\n<li data-start=\"8987\" data-end=\"9022\">\n<p data-start=\"8989\" data-end=\"9022\">Robotics vision-language models<\/p>\n<\/li>\n<li data-start=\"9023\" data-end=\"9052\">\n<p data-start=\"9025\" data-end=\"9052\">Real-time video reasoning<\/p>\n<\/li>\n<li data-start=\"9053\" data-end=\"9092\">\n<p data-start=\"9055\" data-end=\"9092\">Emotional speech + face recognition<\/p>\n<\/li>\n<li data-start=\"9093\" data-end=\"9133\">\n<p data-start=\"9095\" data-end=\"9133\">Brain-computer multimodal interfaces<\/p>\n<\/li>\n<li data-start=\"9134\" data-end=\"9166\">\n<p data-start=\"9136\" data-end=\"9166\">Fully autonomous embodied AI<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"9168\" data-end=\"9239\">Multimodal AI will power <strong data-start=\"9193\" data-end=\"9238\">AI agents that see, hear, act, and reason<\/strong>.<\/p>\n<hr data-start=\"9241\" data-end=\"9244\" \/>\n<h2 data-start=\"9246\" data-end=\"9263\"><strong data-start=\"9249\" data-end=\"9263\">Conclusion<\/strong><\/h2>\n<p data-start=\"9265\" data-end=\"9651\">Multimodal models such as GPT-4V, Gemini, and LLaVA represent a major shift in artificial intelligence. They allow machines to understand images, text, audio, and video together. This brings AI closer to how humans actually experience the world. From healthcare and education to robotics and smart cities, multimodal AI is becoming the foundation of next-generation intelligent systems.<\/p>\n<hr data-start=\"9653\" data-end=\"9656\" \/>\n<h2 data-start=\"9658\" data-end=\"9679\"><strong data-start=\"9661\" data-end=\"9679\">Call to Action<\/strong><\/h2>\n<p data-start=\"9681\" data-end=\"9882\"><strong data-start=\"9681\" data-end=\"9839\">Want to master Multimodal AI, Computer Vision, Video AI, and enterprise deployments?<br data-start=\"9767\" data-end=\"9770\" \/>Explore our full AI &amp; Multimodal Intelligence course library below:<\/strong><br data-start=\"9839\" data-end=\"9842\" \/><a href=\"https:\/\/uplatz.com\/online-courses?global-search=python\">https:\/\/uplatz.com\/online-courses?global-search=python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Multimodal Models (GPT-4V, Gemini, LLaVA): The Future of AI That Sees, Reads, and Understands Artificial Intelligence no longer understands only text. Today\u2019s most powerful AI systems can see images, read <span class=\"readmore\"><a href=\"https:\/\/uplatz.com\/blog\/multimodal-models-gpt-4v-gemini-llava-explained\/\">Read More &#8230;<\/a><\/span><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[170],"tags":[],"class_list":["post-7851","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Multimodal Models (GPT-4V, Gemini, LLaVA) Explained | Uplatz Blog<\/title>\n<meta name=\"description\" content=\"Multimodal AI models like GPT-4V, Gemini, and LLaVA combine text, image, and vision reasoning. 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