Cover Image

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Feng, Pohsun, Bi, Ziqian, Yan, Lawrence K. Q., Wen, Yizhu, Peng, Benji, Liu, Junyu, Yin, Caitlyn Heqi, Wang, Tianyang, Chen, Keyu, Zhang, Sen, Li, Ming, Xu, Jiawei, Liu, Ming, Pan, Xuanhe, Wang, Jinlang, Song, Xinyuan, Niu, Qian
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- AutoML from Basics to State-of-the-Art Techniques
by: Feng, Pohsun, et al.
Published: (2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications
by: Feng, Pohsun, et al.
Published: (2024)

Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns
by: Chen, Keyu, et al.
Published: (2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming
by: Wang, Tianyang, et al.
Published: (2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer
by: Peng, Benji, et al.
Published: (2024)

Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing
by: Li, Ming, et al.
Published: (2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models
by: Chen, Keyu, et al.
Published: (2024)

Deep Learning and Machine Learning -- Python Data Structures and Mathematics Fundamental: From Theory to Practice
by: Chen, Silin, et al.
Published: (2024)

Deep Learning, Machine Learning -- Digital Signal and Image Processing: From Theory to Application
by: Hsieh, Weiche, et al.
Published: (2024)

Deep Learning and Machine Learning -- Object Detection and Semantic Segmentation: From Theory to Applications
by: Ren, Jintao, et al.
Published: (2024)

Surveying the MLLM Landscape: A Meta-Review of Current Surveys
by: Li, Ming, et al.
Published: (2024)

Deep Learning, Machine Learning, Advancing Big Data Analytics and Management
by: Hsieh, Weiche, et al.
Published: (2024)

Securing Large Language Models: Addressing Bias, Misinformation, and Prompt Attacks
by: Peng, Benji, et al.
Published: (2024)

Jailbreaking and Mitigation of Vulnerabilities in Large Language Models
by: Peng, Benji, et al.
Published: (2024)

Deep Learning and Machine Learning -- Natural Language Processing: From Theory to Application
by: Chen, Keyu, et al.
Published: (2024)

From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice
by: Niu, Qian, et al.
Published: (2024)

From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models
by: Zhang, Charles, et al.
Published: (2024)

From Noise to Nuance: Advances in Deep Generative Image Models
by: Peng, Benji, et al.
Published: (2024)

Large Language Model Benchmarks in Medical Tasks
by: Yan, Lawrence K. Q., et al.
Published: (2024)

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence
by: Wang, Tianyang, et al.
Published: (2025)

Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
by: Niu, Qian, et al.
Published: (2024)

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs
by: Hsieh, Weiche, et al.
Published: (2024)

Deep Learning Model Security: Threats and Defenses
by: Wang, Tianyang, et al.
Published: (2024)

Generative Adversarial Networks Bridging Art and Machine Intelligence
by: Song, Junhao, et al.
Published: (2025)

From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing
by: Sun, Xintian, et al.
Published: (2024)

Advanced Deep Learning Methods for Protein Structure Prediction and Design
by: Zhang, Yichao, et al.
Published: (2025)

A Comprehensive Survey and Guide to Multimodal Large Language Models in Vision-Language Tasks
by: Liang, Chia Xin, et al.
Published: (2024)

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development
by: Wang, Tianyang, et al.
Published: (2024)

CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization
by: Bi, Ziqian, et al.
Published: (2025)

From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings
by: Wang, Tianyang, et al.
Published: (2025)

FMCW Radar Principles and Human Activity Recognition Systems: Foundations, Techniques, and Applications
by: Bi, Ziqian, et al.
Published: (2024)

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
by: Yang, Junjie, et al.
Published: (2025)

AutoSurvey2: Empowering Researchers with Next Level Automated Literature Surveys
by: Wu, Siyi, et al.
Published: (2025)

Active Learning Methods for Efficient Data Utilization and Model Performance Enhancement
by: Tseng, Chiung-Yi, et al.
Published: (2025)

Why GRPO Needs Normalization: A Local-Curvature Perspective on Adaptive Gradients
by: Ge, Cheng, et al.
Published: (2026)

Towards Alignment-Centric Paradigm: A Survey of Instruction Tuning in Large Language Models
by: Han, Xudong, et al.
Published: (2025)

Emergence, Evolution and Manipulation of Swing Voters in Presidential Election
by: Liu, Ziqian, et al.
Published: (2025)

Mixture of Experts in Large Language Models
by: Zhang, Danyang, et al.
Published: (2025)

Is GPT-OSS Good? A Comprehensive Evaluation of OpenAI's Latest Open Source Models
by: Bi, Ziqian, et al.
Published: (2025)

KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations
by: Liu, Junyu, et al.
Published: (2025)