{"id":6136,"date":"2023-05-11T01:57:44","date_gmt":"2023-05-10T23:57:44","guid":{"rendered":"https:\/\/equinoxgroup.eu\/?p=6136"},"modified":"2024-04-24T02:09:20","modified_gmt":"2024-04-24T00:09:20","slug":"overcoming-data-limitations-for-ai-models-the-future-of-machine-learning-approaches","status":"publish","type":"post","link":"https:\/\/equinoxgroup.eu\/overcoming-data-limitations-for-ai-models-the-future-of-machine-learning-approaches\/","title":{"rendered":"Overcoming Data Limitations for AI Models: The Future of Machine Learning Approaches"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row css=&#8221;.vc_custom_1683824210143{margin-top: -575px !important;margin-bottom: -200px !important;}&#8221;][vc_column][vc_row_inner][vc_column_inner][vc_column_text css=&#8221;.vc_custom_1683809005104{padding-top: -200px !important;}&#8221;]<\/p>\n<div class=\"\" data-block=\"true\" data-editor=\"3io17\" data-offset-key=\"dt9st-0-0\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\" style=\"text-align: justify;\" data-offset-key=\"dt9st-0-0\">Potential data limitations (in the form of scarcity) for AI models is around the corner and alternative machine learning approaches to sustain performance are becoming essential. From redefining data quality, to methods like JEPA, data augmentation and transfer learning, our future with AI holds promising solutions. The limitations of scaling AI and the importance of diversifying training datasets for improved accuracy and cost-efficiency is thus increasing exponentially in importance.<\/div>\n<\/div>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;vc_hidden-sm&#8221;][vc_column][vc_empty_space height=&#8221;147px&#8221;][\/vc_column][\/vc_row][vc_row el_class=&#8221;vc_hidden-lg vc_hidden-md&#8221;][vc_column][vc_empty_space height=&#8221;70px&#8221;][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=&#8221;380px&#8221;][\/vc_column][\/vc_row][vc_row bg_type=&#8221;image&#8221; parallax_style=&#8221;vcpb-vz-jquery&#8221; bg_image_new=&#8221;id^6143|url^https:\/\/equinoxgroup.eu\/wp-content\/uploads\/2023\/05\/Data-Limitations-AI.jpg|caption^Data Limitations AI|alt^Data Limitations AI|title^Data Limitations AI|description^Data Limitations AI&#8221; bg_image_repeat=&#8221;no-repeat&#8221; bg_image_size=&#8221;initial&#8221;][vc_column][vc_empty_space height=&#8221;380px&#8221;][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=&#8221;50px&#8221;][vc_custom_heading icon=&#8221;fas fa-database&#8221; 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Listen Instead!<\/div><div class=\"meta-artist track-meta-for-dzsap\"><span class=\"the-artist first-line\"><span class=\"first-line-label\" >Algorithmic BrAIn - Overcoming Data Limitations for AI Models: The Future of Machine Learning Approaches<\/span><\/span><span class=\"the-name the-songname second-line\" >Tired of Reading? Listen Instead!<\/span><\/div><div class=\"menu-description\"><span class=\"the-artist\">Algorithmic BrAIn - Overcoming Data Limitations for AI Models: The Future of Machine Learning Approaches<\/span><span class=\"the-name\">Tired of Reading? Listen Instead!<\/span><\/div><div hidden class=\"feed-dzsap feed-dzsap--extra-html feed-dzsap--extra-html--bottom-left \"><span class=\"btn-zoomsounds btn-like\"><span class=\"the-icon\"><svg xmlns:svg=\"http:\/\/www.w3.org\/2000\/svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.0\" width=\"15\" height=\"15\"  viewBox=\"0 0 645 700\" id=\"svg2\"> <defs id=\"defs4\" \/> <g id=\"layer1\"> <path d=\"M 297.29747,550.86823 C 283.52243,535.43191 249.1268,505.33855 220.86277,483.99412 C 137.11867,420.75228 125.72108,411.5999 91.719238,380.29088 C 29.03471,322.57071 2.413622,264.58086 2.5048478,185.95124 C 2.5493594,147.56739 5.1656152,132.77929 15.914734,110.15398 C 34.151433,71.768267 61.014996,43.244667 95.360052,25.799457 C 119.68545,13.443675 131.6827,7.9542046 172.30448,7.7296236 C 214.79777,7.4947896 223.74311,12.449347 248.73919,26.181459 C 279.1637,42.895777 310.47909,78.617167 316.95242,103.99205 L 320.95052,119.66445 L 330.81015,98.079942 C 386.52632,-23.892986 564.40851,-22.06811 626.31244,101.11153 C 645.95011,140.18758 648.10608,223.6247 630.69256,270.6244 C 607.97729,331.93377 565.31255,378.67493 466.68622,450.30098 C 402.0054,497.27462 328.80148,568.34684 323.70555,578.32901 C 317.79007,589.91654 323.42339,580.14491 297.29747,550.86823 z\" id=\"path2417\" style=\"\" \/> <g transform=\"translate(129.28571,-64.285714)\" id=\"g2221\" \/> <\/g> <\/svg><\/span><span class=\"the-label hide-on-active\">Like<\/span><span class=\"the-label show-on-active\">Liked<\/span><\/span><\/div><div hidden class=\"feed-dzsap feed-dzsap--extra-html\" data-playerid=\"6150\" style=\"opacity:0;\"><div class=\"dzsap-counter counter-hits\"><i class=\"fa fa-play\"><\/i><span class=\"the-number\">2<\/span><\/div><div class=\"dzsap-counter counter-likes\"><i class=\"fa fa-heart\"><\/i><span class=\"the-number\">2<\/span><\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243; css=&#8221;.vc_custom_1668098368447{padding-top: 30px !important;padding-right: 30px !important;padding-bottom: 30px !important;padding-left: 30px !important;background: #153e4d url(https:\/\/equinoxgroup.eu\/wp-content\/uploads\/2021\/06\/Website-Narration.jpg?id=4189) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}&#8221; offset=&#8221;vc_hidden-xs&#8221;][vc_custom_heading icon=&#8221;fas fa-assistive-listening-systems&#8221; icon_size=&#8221;34&#8243; stm_title_font_weight=&#8221;700&#8243; text=&#8221;&#8221; font_container=&#8221;tag:h2|font_size:34|text_align:left|color:%23153e4d|line_height:0.8&#8243; use_theme_fonts=&#8221;yes&#8221; css_animation=&#8221;none&#8221; css=&#8221;.vc_custom_1664325096040{margin-right: -10px !important;margin-left: -10px !important;}&#8221; subtitle=&#8221;Prefer to listen?&#8221; subtitle_color=&#8221;#ffffff&#8221;][vc_empty_space height=&#8221;20px&#8221;][vc_column_text]<\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #ffffff; font-size: 12pt; text-align: justify;\">If you prefer to listen to, instead of reading the text on this page, all you need to do is to put your device sound on, hit the play button on the left,\u00a0 sit back, relax and leave everything else to us.<\/span><\/p>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space][vc_column_text]<\/p>\n<p style=\"text-align: justify;\">Large language models (LLMs) have revolutionised natural language processing (NLP) and artificial intelligence (AI) research, thanks to their ability to learn from vast amounts of data. However, recent research by Epoch predicts that we could exhaust high-quality data sources, such as Wikipedia, by 2026, potentially slowing down the current trend of endlessly scaling models to improve results. With machine learning (ML) models known to perform better with increased data, alternative approaches independent of data quantity will be essential to sustain technological development.<\/p>\n<p>[\/vc_column_text][vc_custom_heading icon=&#8221;fas fa-expand&#8221; icon_size=&#8221;36&#8243; text=&#8221;The Limitations of Scaling AI Models&#8221; font_container=&#8221;tag:h3|font_size:24|text_align:left|line_height:1.2&#8243; use_theme_fonts=&#8221;yes&#8221; css=&#8221;.vc_custom_1713917339974{margin-bottom: 16px !important;}&#8221;][vc_column_text]<\/p>\n<p style=\"text-align: justify;\">As the size of a machine learning model increases, it faces diminishing returns in performance improvement. The more complex the model, the harder it is to optimise, and the more prone it becomes to overfitting. Additionally, larger models require more computational resources and time to train, making them less practical for real-world applications.<\/p>\n<p style=\"text-align: justify;\">Robustness and generalisability are crucial for machine learning models to perform well on noisy or adversarial inputs and unseen data, respectively. However, as models become more complex, they are more susceptible to adversarial attacks, resulting in decreased robustness. Larger models also tend to memorise training data instead of learning underlying patterns, leading to poor generalisation performance.<\/p>\n<p style=\"text-align: justify;\">Interpretability and explainability are critical for understanding a model&#8217;s predictions, especially in high-stakes domains such as healthcare and finance. As models become more complex, their inner workings become increasingly opaque, leading to a lack of transparency in the decision-making process.<\/p>\n<p>[\/vc_column_text][vc_custom_heading icon=&#8221;fas fa-sign-out-alt&#8221; icon_size=&#8221;36&#8243; text=&#8221;Alternative Approaches to Building Machine Learning Models&#8221; font_container=&#8221;tag:h3|font_size:24|text_align:left|line_height:1.2&#8243; use_theme_fonts=&#8221;yes&#8221; css=&#8221;.vc_custom_1713917348669{margin-bottom: 16px !important;}&#8221;][vc_column_text]<\/p>\n<p style=\"text-align: justify;\">Reconsidering data quality: Swabha Swayamdipta, a University of Southern California ML professor, suggests creating more diversified training datasets to overcome limitations without reducing quality. He also proposes training models on the same data multiple times to reduce costs and reuse data more efficiently. However, this may increase the risk of overfitting.<\/p>\n<p style=\"text-align: justify;\">JEPA (Joint Empirical Probability Approximation): Yann LeCun proposes JEPA as an alternative machine learning approach that uses empirical probability distributions to model data and make predictions. JEPA can handle complex, high-dimensional data and adapt to changing data patterns, bypassing the need for vast data quantities.<\/p>\n<p style=\"text-align: justify;\">Data augmentation techniques: These involve modifying existing data to create new data, such as flipping, rotating, cropping, or adding noise to images. Data augmentation can reduce overfitting and improve model performance without relying on additional data sources.<\/p>\n<p style=\"text-align: justify;\">Transfer learning: Pre-trained models can be fine-tuned for new tasks, saving time and resources as the model has already learned valuable features from a large dataset. This approach is suitable when there is limited data available for a specific task.<\/p>\n<p>[\/vc_column_text][vc_custom_heading icon=&#8221;fas fa-stream&#8221; icon_size=&#8221;36&#8243; text=&#8221;Conclusion&#8221; font_container=&#8221;tag:h3|font_size:24|text_align:left|line_height:1.2&#8243; use_theme_fonts=&#8221;yes&#8221; css=&#8221;.vc_custom_1713917357454{margin-bottom: 16px !important;}&#8221;][vc_column_text]<\/p>\n<p style=\"text-align: justify;\">Data augmentation and transfer learning are effective methods currently in use, but they do not provide a long-term solution to the issue of data limitations. As we approach the point of exhausting high-quality data sources, we must invest in developing novel machine learning approaches that can learn from limited or low-quality data. This includes exploring techniques that mimic human learning, where only a few examples are needed to learn something new. By focusing on these innovative methods, we can continue to advance AI and machine learning technology without being constrained by the availability of data.<\/p>\n<p>[\/vc_column_text]<div class=\"templatera_shortcode\"><style type=\"text\/css\" data-type=\"vc_shortcodes-default-css\">.vc_do_custom_heading{margin-bottom:0.625rem;margin-top:0;}.vc_do_custom_heading{margin-bottom:0.625rem;margin-top:0;}.vc_do_btn{margin-bottom:22px;}<\/style><style type=\"text\/css\" data-type=\"vc_shortcodes-custom-css\">.vc_custom_1667111652227{margin-top: 48px !important;}.vc_custom_1713917281413{margin-top: 14px !important;margin-bottom: 42px !important;padding-bottom: 12px !important;}.vc_custom_1667116849933{margin-top: 28px !important;margin-bottom: 28px !important;}.vc_custom_1713917315239{margin-top: 14px !important;margin-bottom: 42px !important;padding-bottom: 12px !important;}<\/style><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1667111652227\"><div class=\"wpb_column 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