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Message: <blockquote data-quote="AiLankan" data-source="post: 30456201" data-attributes="member: 586885">Machan, sorry, I will type in English, not because of Luku sceen ok <img src="/styles/default/xenforo/smilies/default/D.gif"  class="smilie" loading="lazy" alt=":D" title="Big grin    :D" data-shortname=":D" />Artificial General Intelligence is the highest point in AI.  Such an AI system can understand, learn, and perform any intellectual task that a human can do. Imagine an AI system that can do its own research and break all the barriers. Then LLMS -   Just think of LLMs as one way to achieve AGI (there could be many. But as researchers this is the best we have seen so far). Because these models can really understand the dynamics of the world via the vast amount of available knees.<hr />Well, there are many foundation models, such as images, audio, and text. So, they are not exactly LLMs.  But again, we can now have models that generate text, images, and voice. Chatgpt pretty much does it. Now researchers like to use the term "Omni Models". As you correctly understand when it comes to videos and audio , they do need similar data sources to learn. It could also be a mix of data. That is what we call multimodal learning. For example: you can take a YouTube video and feed it to an algorithm; with its transcript, you can get textual info, then, of course, the audio and video. * We do not convert other modalities to text.  When it comes to these foundation models, we convert all text, images, video, and audio into vectors, which means a stream of numbers that computers can read. Then we convert them back to text, audio, and video,------ Post added on [DATETIME="UT"]1736201236[/DATETIME]<hr />Not at all.  Same principals. Backpropagation, gradient descent, normalization, probability, and non linearly. Pretty much the basic machine learning concepts.------ Post added on [DATETIME="UT"]1736201321[/DATETIME]</blockquote>

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