Summary of Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling Ai’s Potential Through Tools, Techniques, and Applications, by Pohsun Feng et al.
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI’s Potential Through Tools, Techniques, and Applications
by Pohsun Feng, Ziqian Bi, Yizhu Wen, Xuanhe Pan, Benji Peng, Ming Liu, Jiawei Xu, Keyu Chen, Junyu Liu, Caitlyn Heqi Yin, Sen Zhang, Jinlang Wang, Qian Niu, Ming Li, Tianyang Wang
First submitted to arxiv on: 2 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the concepts and advancements in artificial intelligence (AI), machine learning, and deep learning, with a focus on large language models (LLMs) and their role in natural language processing, multimodal reasoning, and autonomous decision-making. The discussion highlights tools like ChatGPT, Claude, and Gemini, examining their applications in data analysis, model design, and optimization. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about the latest advancements in artificial intelligence and how they can help us with big data. It talks about special kinds of computer models called large language models that are really good at understanding and using human language. These models are used for things like analyzing data, designing new models, and making decisions on their own. |
Keywords
» Artificial intelligence » Claude » Deep learning » Gemini » Machine learning » Natural language processing » Optimization
