Remove BERT Remove Data Scarcity Remove Deep Learning
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What AI Music Generators Can Do (And How They Do It)

AssemblyAI

Data scarcity: Paired natural anguage descriptions of music and corresponding music recordings are extremely scarce, in contrast to the abundance of image/descriptions pairs available online, e.g. in online art galleries or social media.  This also makes the evaluation step harder and highly subjective.

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Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

Harnessing the power of deep learning for image segmentation is revolutionizing numerous industries, but often encounters a significant obstacle – the limited availability of training data. Over the years, various successful deep learning architectures have been developed for this task, such as U-Net or SegFormer.

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Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

Harnessing the power of deep learning for image segmentation is revolutionizing numerous industries, but often encounters a significant obstacle the limited availability of training data. Over the years, various successful deep learning architectures have been developed for this task, such as U-Net or SegFormer.

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Small but Mighty: The Enduring Relevance of Small Language Models in the Age of LLMs

Marktechpost

The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into prompt-based reasoning used by the GPT family. In information retrieval, where faster inference speed is crucial, lightweight models like Sentence-BERT remain widely used.

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AI for Music Generation (Overview)

Viso.ai

Muzic is a “research project on AI music that empowers music understanding and generation with deep learning and artificial intelligence.” Muzic is a research project from Microsoft that uses deep learning techniques for music generation and understanding – source.