Remove 2026 Remove Algorithm Remove Data Scarcity
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Can Machine Learning Evolve Beyond Public Data Limits? This Research from China Introduces OpenFedLLM: Pioneering Collaborative and Privacy-Preserving Training of Large Language Models Using Federated Learning

Marktechpost

LLMs, trained on extensive public datasets, have shown remarkable success across various fields, but the depletion of high-quality public data is imminent by 2026. Due to this scarcity, researchers combine existing datasets or generate model-created data. In recent years, LLMs like GPT-3.5/4

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Predicting the Future of Data Science

Pickl AI

Introduction Data Science has transformed the way businesses operate, enabling them to make data-driven decisions that enhance efficiency and innovation. As of 2023, the global Data Science market is projected to reach approximately USD 322.9 billion by 2026, growing at a CAGR of 27.7%.