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error route","\u002Fauth\u002Ferror",{},"data\u002Fshared\u002Furls","2AvfSWI6bZACH5Kr1ZS3txMLjteRjCjbDR_ul1uRZ9Q",{"id":672,"title":673,"author":674,"authorPhoto":675,"authorPhotoAlt":676,"authorSlug":677,"body":678,"buttonText":1372,"buttonUrl":1373,"category":1374,"date":1375,"description":1376,"draft":1377,"editorsPick":1377,"extension":1378,"featured":1377,"image":1379,"imageAlt":1380,"meta":1381,"navigation":32,"ogImage":676,"ogImageAlt":676,"path":1382,"seo":1383,"stem":1384,"tags":676,"__hash__":1385},"blog\u002Fblog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding.md","What is Multimodal AI? A complete overview","Haimantika Mitra","https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding\u002Fauthor.png",null,"haimantika-mitra",{"type":679,"value":680,"toc":1353},"minimark",[681,685,688,699,702,705,710,713,716,719,722,725,732,746,749,764,772,775,780,785,788,805,808,816,825,828,832,835,844,847,850,884,887,895,898,901,921,925,928,931,940,949,952,955,961,967,970,990,996,999,1025,1031,1035,1038,1041,1045,1048,1054,1069,1075,1079,1082,1085,1088,1093,1102,1106,1109,1112,1119,1122,1127,1131,1134,1137,1146,1151,1155,1158,1161,1164,1167,1170,1174,1177,1180,1196,1201,1204,1218,1221,1224,1232,1235,1238,1242,1245,1248,1277,1281,1284,1291,1294,1301,1304,1311,1319,1327,1330],[682,683,684],"p",{},"I have seen AI slowly become a part of all our tasks, whether writing a social media post, quick research, fixing grammar, writing code, or even decision-making.",[682,686,687],{},"We want AI to help us be more productive and optimize processes. While traditional AI can lack in a few areas, like accuracy, multimodal AI fixes this since it can handle multiple data inputs, resulting in a more accurate output.",[682,689,690,691,698],{},"The multimodal AI market has been growing quite a bit. We have seen companies like ",[692,693,697],"a",{"href":694,"rel":695},"https:\u002F\u002Ftechcrunch.com\u002F2024\u002F09\u002F11\u002Fmistral-releases-pixtral-its-first-multimodal-model\u002F",[696],"nofollow","Mistral release their Pixtral 12B Multimodal AI model"," in September 2024.",[682,700,701],{},"If you have used GPT-4o, DALL-E, Gemini, or Claude, they are also examples of multimodal AI.",[682,703,704],{},"In this article, we will introduce you to multimodal AI, how it works, and how you, as a leader or a decision-maker, can use it to make more informed decisions.",[706,707,709],"h2",{"id":708},"how-does-unimodal-differ-from-multimodal-ai","How does unimodal differ from multimodal AI?",[682,711,712],{},"Before understanding what multimodal AI means, we must know how it differs from traditional AI.",[682,714,715],{},"So, how is multimodal AI different from other examples of AI?",[682,717,718],{},"Unimodal AI, or traditional AI systems, are designed to work only on a single type of data. For example, text-only natural language processing and image-only computer vision. Since they can process only a single type of data, they provide great results in their specific domain but fail to deliver accurate results in domains that need an understanding of more than one data type.",[682,720,721],{},"On the other hand, multimodal AI provides better responses and is more contextually aware, as it can process multiple data types (image, text, audio, video) simultaneously.",[682,723,724],{},"Multimodal AI was made possible because of transformer architecture. Two such examples are OpenAI's CLIP and DALL-E.",[682,726,727],{},[728,729],"img",{"alt":730,"src":731},"Diagram illustrating the Transformer architecture, showcasing self-attention mechanisms, multi-head attention layers, positional encoding, and feed-forward networks used in deep learning models","https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding\u002Fimg-001.jpg",[682,733,734,738,739],{},[735,736,737],"em",{},"Image source:"," ",[692,740,743],{"href":741,"rel":742},"https:\u002F\u002Farxiv.org\u002Fabs\u002F1706.03762",[696],[735,744,745],{},"NIPS'17",[682,747,748],{},"CLIP can classify images using natural language, while DALL-E can generate images using natural language.",[682,750,751,752,757,758,763],{},"This shows how multimodal AI can work across different data types and can be used for complex tasks like ",[692,753,756],{"href":754,"rel":755},"https:\u002F\u002Fhuggingface.co\u002Ftasks\u002Fvisual-question-answering",[696],"Visual Question Answering"," and ",[692,759,762],{"href":760,"rel":761},"https:\u002F\u002Flil.nlp.cornell.edu\u002Fnlvr\u002F",[696],"Natural Language for Visual Reasoning",".",[682,765,766,767,763],{},"For a lot of us, multimodal AI is a new concept, even though we might use it almost every day (if you have used ChatGPT, it is a multimodal AI model). We are mostly familiar with generative AI and ",[692,768,771],{"href":769,"rel":770},"https:\u002F\u002Fpieces.app\u002Fblog\u002Fgenerative-ai-vs-llms",[696],"its differences with llms",[682,773,774],{},"So, here’s a quick overview on what is the difference between generative AI and multimodal AI:",[682,776,777],{},[735,778,779],{},"Generative AI generates results such as text, image, code, etc based on learned patterns, while multimodal AI processes multiple types of data to generate results.",[781,782,784],"h3",{"id":783},"what-does-it-mean-for-your-team","What does it mean for your team?",[682,786,787],{},"Integrating Multimodal AI into your workflow can help maintain focus, improve decision-making, and automate repetitive tasks.",[682,789,790,795,796,800,801,804],{},[692,791,794],{"href":792,"rel":793},"https:\u002F\u002Fwww.gartner.com\u002Fen\u002Fnewsroom\u002Fpress-releases\u002F2024-09-09-gartner-predicts-40-percent-of-generative-ai-solutions-will-be-multimodal-by-2027",[696],"According to a report by Gartner",", ",[797,798,799],"strong",{},"40%"," of Generative AI applications will be multimodal by ",[797,802,803],{},"2027"," and will have a transformational impact on businesses, as it enables use cases that weren’t possible before.",[682,806,807],{},"So it is safe to say that multimodal AI will be the future of businesses.",[682,809,810,811,763],{},"For individuals or teams, we are seeing growth in workflows becoming ",[692,812,815],{"href":813,"rel":814},"https:\u002F\u002Fpieces.app\u002Fblog\u002Fhow-to-choose-the-right-llm-for-ai-assisted-development",[696],"more AI-assisted",[682,817,818,819,824],{},"Here’s a recent ",[692,820,823],{"href":821,"rel":822},"https:\u002F\u002Fx.com\u002Fleeerob\u002Fstatus\u002F1889756478212329551",[696],"update from Vercel",", where they introduced an AI workflow that will help in checking writing style and guide for their docs. This is a great example of how teams will move ahead with integrating multimodal AI into their daily workflows.",[682,826,827],{},"Let’s begin…!",[706,829,831],{"id":830},"what-is-multimodal-ai","What is Multimodal AI?",[682,833,834],{},"Multimodal AI is a system that integrates and processes multiple data types also known as modalities to generate results. Unlike traditional AI models that can handle only a single type of data, multimodal AI models can take in different types of data such as text, image, audio, video to output more human-like accurate results that are also contextually aware.",[682,836,837,838,843],{},"Google defines ",[692,839,842],{"href":840,"rel":841},"https:\u002F\u002Fcloud.google.com\u002Fuse-cases\u002Fmultimodal-ai?hl=en",[696],"multimodal AI"," as models that process and integrate multiple data types, such as text, images, audio, and video. Their Gemini models, like Gemini 2.0, enhance multimodal capabilities with real-time interactions and improved reasoning.",[682,845,846],{},"So, when is an AI model considered multimodal? It is considered multimodal when the model can process multiple modalities.",[682,848,849],{},"“Modality” in AI refers to the type of data or information a system can understand. This includes:",[851,852,853,860,866,872,878],"ul",{},[854,855,856,859],"li",{},[797,857,858],{},"Text",": Written or spoken language.",[854,861,862,865],{},[797,863,864],{},"Video",": Combining visual and auditory data.",[854,867,868,871],{},[797,869,870],{},"Images",": Visual data such as photographs and graphics.",[854,873,874,877],{},[797,875,876],{},"Sensor Data",": Applications like glucose monitors that can be used in healthcare.",[854,879,880,883],{},[797,881,882],{},"Audio",": This includes audio of any format: spoken words, music, and environmental sounds.",[682,885,886],{},"For example, think of an AI assistant for data analysts that can:",[851,888,889,892],{},[854,890,891],{},"Analyze data, research papers (text),",[854,893,894],{},"Review reports, dashboards (images and videos)",[682,896,897],{},"And combine all of these data to give a result. This is more accurate and reliable than solutions that just take in data from one source.",[682,899,900],{},"A multimodal AI system contains three components:",[851,902,903,909,915],{},[854,904,905,908],{},[797,906,907],{},"Input module:"," The input module is made up of several unimodal neural networks. Each network handles a different type of data, collectively making up the input module.",[854,910,911,914],{},[797,912,913],{},"Fusion module:"," The input module collects the data and passes it on to the fusion module to process the information coming from each data type.",[854,916,917,920],{},[797,918,919],{},"Output module:"," This component outputs the results.",[706,922,924],{"id":923},"how-does-multimodal-ai-work","How does Multimodal AI work?",[682,926,927],{},"Historically, AI development has focused on unimodal models that are capable of processing only one type of data.",[682,929,930],{},"However, this had many restrictions and generated inaccurate results that were not contextually aware. This led to the growth of multimodal AI.",[682,932,933,934,939],{},"Understanding how multimodal AI is used in generative AI can help you get the most out of the ",[692,935,938],{"href":936,"rel":937},"https:\u002F\u002Fpieces.app\u002Fblog\u002Ftop-10-ai-tools-for-developers",[696],"commonly used AI tools"," that use the power of both.",[682,941,942,943,948],{},"An article ",[692,944,947],{"href":945,"rel":946},"https:\u002F\u002Fwww.ibm.com\u002Fthink\u002Ftopics\u002Fmultimodal-ai",[696],"by IBM on Multimodal AI",", mentions the three characteristics of multimodal AI: heterogeneity, connection, and interactions where Heterogeneity refers to the diverse qualities, structures, and representations of modalities.",[682,950,951],{},"Connections refer to the complementary information shared between different modalities and interactions refer to how different modalities interact when they are brought together.",[682,953,954],{},"Multimodal model architecture usually includes an encoder, a fusion mechanism, and a decoder.",[682,956,957],{},[728,958],{"alt":959,"src":960},"Diagram illustrating the architecture of Multimodal AI, showcasing how multiple data types—such as text, images, audio, and video—are processed through separate encoders, fused in a shared representation space, and integrated for decision-making","https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding\u002Fimg-002.png",[682,962,963,966],{},[797,964,965],{},"Encoders –"," Encoders transform raw multimodal data into machine-readable feature vectors orembeddings that models use as input to understand the content.",[682,968,969],{},"Multimodal models often have three types of encoders for each data type - image, text, and audio.",[851,971,972,978,984],{},[854,973,974,977],{},[797,975,976],{},"Image Encoders:"," Image encoders convert image pixels into feature vectors to help the model understand critical image properties.",[854,979,980,983],{},[797,981,982],{},"Text Encoders:"," Text encoders transform text descriptions into embeddings that models can use for further processing.",[854,985,986,989],{},[797,987,988],{},"Audio Encoders:"," Audio encoders convert raw audio files into usable feature vectors that capture critical audio patterns, including rhythm, tone, and context.",[682,991,992,995],{},[797,993,994],{},"Fusion mechanism"," – The fusion mechanism helps in combining the embeddings that are transformed by encoders. This allows the model to be more contextually aware of the data coming in from all modalities.",[682,997,998],{},"Here are some key fusion strategies.",[851,1000,1001,1007,1013,1019],{},[854,1002,1003,1006],{},[797,1004,1005],{},"Early Fusion:"," Combines all modalities before passing them to the model for processing.",[854,1008,1009,1012],{},[797,1010,1011],{},"Intermediate Fusion:"," Projects each modality onto a latent space and fuses the latent representations for further processing.",[854,1014,1015,1018],{},[797,1016,1017],{},"Late Fusion:"," Processes all modalities in their raw form and fuses the output for each.",[854,1020,1021,1024],{},[797,1022,1023],{},"Hybrid Fusion:"," Combines early, intermediate, and late fusion strategies at different model processing phases.",[682,1026,1027,1030],{},[797,1028,1029],{},"Decoders"," – Decoders help in processing the feature vectors from different modalities to produce the required output. It can contain cross-modal attention networks to focus on different parts of input data and produce relevant outputs.",[706,1032,1034],{"id":1033},"implementing-multimodal-ai-in-your-day-to-day-tasks","Implementing multimodal AI in your day-to-day tasks",[682,1036,1037],{},"By now, you know how advanced multimodal AI is, especially in terms of being contextually aware and generating accurate results.",[682,1039,1040],{},"Here are some ways how you can use it for your day-to-day work:",[781,1042,1044],{"id":1043},"for-more-thorough-decision-making","For more thorough decision-making",[682,1046,1047],{},"Since multimodal AI can take in data from multiple sources and use it to generate human-like responses, you can use it to combine text reports, dashboards, and real-time data streams to get data-driven insights.",[682,1049,1050,1051,763],{},"You can also use it to ",[797,1052,1053],{},"forecast trends using predictive analysis",[682,1055,1056,1057,1062,1063,1068],{},"Here’s an example of how you can ",[692,1058,1061],{"href":1059,"rel":1060},"https:\u002F\u002Fpieces.app\u002Ffeatures\u002Fcopilot\u002Flong-term-memory",[696],"use long-term memory"," that already has the context of your code and saved snippets to write more accessible code ",[692,1064,1067],{"href":1065,"rel":1066},"https:\u002F\u002Fpieces.app\u002Ffeatures\u002Fcopilot\u002Fmultiple-llms",[696],"using LLMs of your choice",":",[682,1070,1071],{},[728,1072],{"alt":1073,"src":1074},"","https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding\u002Fimg-003.png",[781,1076,1078],{"id":1077},"for-making-communication-smoother-and-more-efficient","For making communication smoother and more efficient",[682,1080,1081],{},"Multimodal AI models are great for creating summaries and translations (multiple languages, image to text, and vice versa).",[682,1083,1084],{},"You can use it to summarize meetings, make announcements, and automate other types of communication workflows.",[682,1086,1087],{},"Here’s how I used an AI assistant to turn my meeting notes into actionable points:",[682,1089,1090],{},[728,1091],{"alt":1073,"src":1092},"https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding\u002Fimg-004.png",[682,1094,1095,1096,1101],{},"By the way, you can ",[692,1097,1100],{"href":1098,"rel":1099},"https:\u002F\u002Fdocs.pieces.app\u002Finstallation-getting-started\u002Fwhat-am-i-installing",[696],"test-drive it yourself"," since it’s free and has both local and cloud options.",[781,1103,1105],{"id":1104},"for-improving-productivity","For improving productivity",[682,1107,1108],{},"And by “productivity” I mean not you working 24\u002F7 like a machine that doesn’t need its oil to be changed, but actually focusing on the tasks, having less stress going back and forth, and finally completing that to-do list of yours!",[682,1110,1111],{},"AI is seen as an assistant and has been built to help us simplify repetitive processes.",[682,1113,1114,1115,1118],{},"If you have to send daily reports of your work, you can ",[797,1116,1117],{},"build automations that generate summaries"," based on your work tickets\u002Fcommits and send them to the appropriate channel.",[682,1120,1121],{},"Here’s an example of how I’m using AI to create a script that could help me send bulk emails and skip manually adding email addresses 👇",[682,1123,1124],{},[728,1125],{"alt":1073,"src":1126},"https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding\u002Fimg-005.png",[781,1128,1130],{"id":1129},"for-better-planning","For better planning",[682,1132,1133],{},"As a leader, you might often have to deal with \"what-ifs\" and questions that do not have any definitive answers. This is where multimodal AI can help.",[682,1135,1136],{},"Since it can process information from multiple data sources, it can assist you in making strategic decisions.",[682,1138,1139,1140,1145],{},"When in doubt, use AI. Here’s how I ",[692,1141,1144],{"href":1142,"rel":1143},"https:\u002F\u002Fpieces.app\u002Fblog\u002Fpieces-developers-chatgpt",[696],"have used ChatGPT"," to help brainstorm ideas for better promoting a hybrid conference:",[682,1147,1148],{},[728,1149],{"alt":1073,"src":1150},"https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding\u002Fimg-006.png",[781,1152,1154],{"id":1153},"for-research-and-competitive-analysis","For research and competitive analysis",[682,1156,1157],{},"Business and product decisions are often made with proper research and competitive analysis, and this is a lengthy process that takes days of research.",[682,1159,1160],{},"You can use multimodal AI to generate an analysis as it can process multiple types of data such as financial reports, news articles, customer reviews, and more.",[682,1162,1163],{},"For example, I am using AI in the example below to help me build a new product that will help me compete with existing competitors.",[682,1165,1166],{},"Long story short, I could continue this list, but I hope I covered the main part as I’m using it in my day-to-day life. Saves me tons of time, and nerves.",[682,1168,1169],{},"Speaking of engineers, my peers and team find it no less useful.",[706,1171,1173],{"id":1172},"how-engineers-can-make-use-of-multimodal-ai","How engineers can make use of multimodal AI",[682,1175,1176],{},"As an engineer, you can not only make use of multimodal AI but also build with it and take learnings to build better systems.",[682,1178,1179],{},"Here’s an example of me using multimodal AI to code better.",[682,1181,1182,1183,1188,1189,757,1193,763],{},"I have been building an application ",[692,1184,1187],{"href":1185,"rel":1186},"http:\u002F\u002Fnext.js\u002F",[696],"with Next.js",", again with Pieces,  and it was able to suggest code changes based on ",[1190,1191,1192],"code",{},"**Saved Materials**",[1190,1194,1195],{},"**Captured Context**",[682,1197,1198],{},[728,1199],{"alt":1073,"src":1200},"https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding\u002Fimg-007.png",[682,1202,1203],{},"You can also make use of the APIs of the already built systems to help in processes such as:",[851,1205,1206,1209,1212,1215],{},[854,1207,1208],{},"Design and prototyping – By building applications that can generate sketches or images from natural language.",[854,1210,1211],{},"Customer support systems – Applications that can analyze text, audio, and images to provide smart customer support.",[854,1213,1214],{},"Content creation – Developing tools that can help in creating video, image, and written content. For example, tools like Descript AI, and Whisper.",[854,1216,1217],{},"Accessibility and assistive tech solutions – Building solutions that can help people with special needs, for example, being able to generate text from sign language.",[682,1219,1220],{},"Lastly, you can learn from the already-built systems to build solutions that are AI-enabled, more scalable, and flexible.",[682,1222,1223],{},"Here are some focus areas of learning:",[851,1225,1226,1229],{},[854,1227,1228],{},"From OpenAI’s APIs, you can learn how using cloud AI platforms can offload multimodal AI processing and help in building scalable and cost-efficient models.",[854,1230,1231],{},"From Google’s Gemini and OpenAI’s GPT-4o, you can learn how transformer architectures can help in building more contextually aware systems.",[682,1233,1234],{},"This is a great example of how it is not always necessary to reinvent the wheel. If you have certain use cases, you should be using pre-trained multimodal models and customizing them instead of training from scratch.",[682,1236,1237],{},"From Tesla’s self-driving car, you can learn how to optimize real-time data fusion strategies for multimodal decision-making.",[706,1239,1241],{"id":1240},"key-considerations-when-adopting-multimodal-ai","Key considerations when adopting multimodal AI",[682,1243,1244],{},"As we wrap up, we have seen how helpful multimodal AI is and how it can assist us.",[682,1246,1247],{},"While it offers significant benefits, there are also important considerations to keep in mind:",[1249,1250,1251,1261,1271],"ol",{},[854,1252,1253,1256,1257,1260],{},[797,1254,1255],{},"Ethical and privacy concerns:"," Multimodal AI has access to a vast amount of data. If strict safeguarding practices ",[797,1258,1259],{},"are not"," in place, it can raise security concerns.",[854,1262,1263,1266,1267,1270],{},[797,1264,1265],{},"Computational demands:"," Since it processes multiple types of data, ",[797,1268,1269],{},"it might"," lead to increased costs and slower processing times.",[854,1272,1273,1276],{},[797,1274,1275],{},"Data quality and availability:"," Multimodal AI works with a lot of data, and at times it can be difficult to get high-quality data, which can lead to decreased accuracy in results.",[706,1278,1280],{"id":1279},"using-multimodal-ai-for-your-teams-long-term-game","Using multimodal AI for your teams' long-term game",[682,1282,1283],{},"Once you choose to use Multimodal AI in some capacity in your teams, here are some recommendations that I have:",[851,1285,1286],{},[854,1287,1288,763],{},[797,1289,1290],{},"Multimodal AI depends a lot on data from various sources",[682,1292,1293],{},"To make your applications better and more contextually aware, make sure you focus on data quality.",[851,1295,1296],{},[854,1297,1298],{},[797,1299,1300],{},"Focus on privacy from day one.",[682,1302,1303],{},"Keep in mind the ethical use of AI, and see how you can include privacy in the architectural design of the application you are building.",[851,1305,1306],{},[854,1307,1308],{},[797,1309,1310],{},"Make your tools human-collaborative.",[682,1312,1313,1314],{},"Look for ways to build features that can complement human decision-making abilities with AI’s ability to act as a co-pilot. That’s what I did, ",[692,1315,1318],{"href":1316,"rel":1317},"https:\u002F\u002Fpieces.app\u002F",[696],"through Pieces.",[682,1320,1321,1322,1326],{},"Get a ",[692,1323,1325],{"href":1098,"rel":1324},[696],"free AI companion with long-term memory"," without risking your budget, security, and time, and check this out yourself.",[682,1328,1329],{},"Lastly, here are some helpful resources if you want to learn more about Multimodal AI:",[851,1331,1332,1339,1346],{},[854,1333,1334],{},[692,1335,1338],{"href":1336,"rel":1337},"https:\u002F\u002Fpieces.app\u002Fblog\u002Fcontext-for-repository-aware-code",[696],"Managing context for repository-aware code generation in no time",[854,1340,1341],{},[692,1342,1345],{"href":1343,"rel":1344},"https:\u002F\u002Farxiv.org\u002Fabs\u002F2401.03568",[696],"Agent AI: Surveying the Horizons of Multimodal Interaction",[854,1347,1348],{},[692,1349,1352],{"href":1350,"rel":1351},"https:\u002F\u002Fpieces.app\u002Fblog\u002Ftext-segmentation-in-rag",[696],"Exploring text segmentation in retrieval-augmented generation (RAG)",{"title":1073,"searchDepth":1354,"depth":1354,"links":1355},2,[1356,1360,1361,1362,1369,1370,1371],{"id":708,"depth":1354,"text":709,"children":1357},[1358],{"id":783,"depth":1359,"text":784},3,{"id":830,"depth":1354,"text":831},{"id":923,"depth":1354,"text":924},{"id":1033,"depth":1354,"text":1034,"children":1363},[1364,1365,1366,1367,1368],{"id":1043,"depth":1359,"text":1044},{"id":1077,"depth":1359,"text":1078},{"id":1104,"depth":1359,"text":1105},{"id":1129,"depth":1359,"text":1130},{"id":1153,"depth":1359,"text":1154},{"id":1172,"depth":1354,"text":1173},{"id":1240,"depth":1354,"text":1241},{"id":1279,"depth":1354,"text":1280},"Get started with Pieces - it's free","https:\u002F\u002Fbeta.docs.pieces.app\u002Fproducts\u002Fmeet-pieces","AI & LLMs","2025-02-18T00:00:00.000Z","Explore the world of Multimodal AI in this complete overview. Learn how AI integrates text, images, audio, and more to enhance understanding and performance.",false,"md","https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fblog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding\u002Fhero.png","An illustration comparing Multimodal AI and Unimodal AI. On the left, Multimodal AI processes and integrates multiple types of data, such as text, images, and speech, represented by interconnected icons of a document, a camera, and a microphone",{},"\u002Fblog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding",{"title":673,"description":1376},"blog\u002Fmultimodal-ai-bridging-the-gap-between-human-and-machine-understanding","8hv6YIktPlumvnzrTKr5nB0SszpF__TGzsALkpV05bg",{"id":1387,"title":674,"body":1388,"description":1406,"draft":1377,"extension":1378,"meta":1407,"navigation":32,"path":1408,"photo":1409,"photoAlt":676,"seo":1410,"stem":1411,"__hash__":1412},"authors\u002Fauthors\u002Fhaimantika-mitra.md",{"type":679,"value":1389,"toc":1404},[1390],[682,1391,1392,1393,1398,1399],{},"Haimantika Mitra is a developer advocate by profession. She is skilled in frontend development, technical writing and developer experience. She is also fond of traveling, and gardening. You can connect with her on X ",[692,1394,1397],{"href":1395,"rel":1396},"https:\u002F\u002Fwww.google.com\u002Furl?q=https:\u002F\u002Fx.com\u002FHaimantikaM&sa=D&source=docs&ust=1737145822714033&usg=AOvVaw0tTOKer0I-8wW9BPQos0wu",[696],"https:\u002F\u002Fx.com\u002FHaimantikaM"," and LinkedIn ",[692,1400,1403],{"href":1401,"rel":1402},"https:\u002F\u002Fwww.google.com\u002Furl?q=https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fhaimantika-mitra\u002F&sa=D&source=docs&ust=1737145822714054&usg=AOvVaw0ZbgWuSmM6hb1lKdw7xVoJ",[696],"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fhaimantika-mitra\u002F",{"title":1073,"searchDepth":1354,"depth":1354,"links":1405},[],"Haimantika Mitra is a developer advocate by profession. She is skilled in frontend development, technical writing and developer experience. She is also fond of traveling, and gardening. You can connect with her on X https:\u002F\u002Fx.com\u002FHaimantikaM and LinkedIn https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fhaimantika-mitra\u002F",{},"\u002Fauthors\u002Fhaimantika-mitra","https:\u002F\u002Fstorage.googleapis.com\u002Fpieces-marketing-website\u002Fimages\u002Fauthors\u002Fhaimantika-mitra.jpg",{"title":674,"description":1406},"authors\u002Fhaimantika-mitra","5YvZZx8DQFhTpybnqrYwaMoGnwveTcOVfK8-SQ_ABKA",{"left":1414,"top":1414,"width":1415,"height":1415,"rotate":1414,"vFlip":1377,"hFlip":1377,"body":1416},0,24,"\u003Cpath fill=\"currentColor\" d=\"m7.825 13l4.9 4.9q.3.3.288.7t-.313.7q-.3.275-.7.288t-.7-.288l-6.6-6.6q-.15-.15-.213-.325T4.426 12t.063-.375t.212-.325l6.6-6.6q.275-.275.688-.275t.712.275q.3.3.3.713t-.3.712L7.825 11H19q.425 0 .713.288T20 12t-.288.713T19 13z\"\u002F>"]