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In the past decade, Artificial Intelligence (AI) and Machine Learning (ML) have seen tremendous progress. Modern AI and ML models can seamlessly and accurately recognize objects in images or video files. The SEER model by Facebook AI aims at maximizing the capabilities of self-supervised learning in the field of computervision.
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Despite advances in image and text-based AI research, the audio domain lags due to the absence of comprehensive datasets comparable to those available for computervision or naturallanguageprocessing. Check out the Details and Dataset on Hugging Face. If you like our work, you will love our newsletter.
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Naturallanguageprocessing (NLP) is a clear example of this tendency since more sophisticated models demonstrate adaptability by learning new tasks and domains from scratch with only basic instructions. The success of naturallanguageprocessing inspires a similar strategy in computervision.
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Ideal for those looking to build a portfolio and gain hands-on skills in AI. Whether you’re interested in image recognition, naturallanguageprocessing, or even creating a dating app algorithm, theres a project here for everyone. So, roll up your sleeves, and lets dive into the fascinating world of Deep Learning!
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