Remove BERT Remove Data Scarcity Remove Natural Language Processing
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Innovation in Synthetic Data Generation: Building Foundation Models for Specific Languages

Unite.AI

Synthetic data , artificially generated to mimic real data, plays a crucial role in various applications, including machine learning , data analysis , testing, and privacy protection. However, generating synthetic data for NLP is non-trivial, demanding high linguistic knowledge, creativity, and diversity.

NLP 173
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Meet LP-MusicCaps: A Tag-to-Pseudo Caption Generation Approach with Large Language Models to Address the Data Scarcity Issue in Automatic Music Captioning

Marktechpost

Subsequently, a team of researchers from South Korea has developed a method called LP-MusicCaps (Large language-based Pseudo music caption dataset), creating a music captioning dataset by applying LLMs carefully to tagging datasets. They used the BERT-Score metric to evaluate the diversity of the generated captions. audio clips.

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Zero-Shot Learning: Unlocking the Power of AI Without Training Data

Pickl AI

By leveraging auxiliary information such as semantic attributes, ZSL enhances scalability, reduces data dependency, and improves generalisation. This innovative approach is transforming applications in computer vision, Natural Language Processing, healthcare, and more.

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Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

Illustration of a few-shot segmentation process. Segment Anything Model (SAM) Inspired by the success of prompting techniques utilized in the field of natural language processing, researchers from Meta AI proposed the Segment Anything Model (SAM), which aims to perform image segmentation based on segmentation prompts.

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

Marktechpost

Large Language Models (LLMs) have revolutionized natural language processing in recent years. 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. This has sparked interest in smaller language models (SLMs) like Phi-3.8B

BERT 122
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AI for Music Generation (Overview)

Viso.ai

Symbolic Music Understanding ( MusicBERT ): MusicBERT is based on the BERT (Bidirectional Encoder Representations from Transformers) NLP model. Muzic utilizes this tool to interpret and process musical symbols at a granular level. This component is crucial as it enables AI to comprehend music at a level similar to human understanding.