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Machine Learning

2024 Turing Award Honors Reinforcement Learning Father Richard Sutton and Mentor Andrew Barto
Reinforcement Learning pioneers Andrew Barto and Richard Sutton win the 2024 ACM Turing Award for groundbreaking contributions in AI.
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Meng Li
YOLO Releases v12: The First YOLO Framework Centered on Attention
YOLOv12 introduces the first attention-based framework, optimizing real-time object detection with improved speed, accuracy, and efficiency…
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Meng Li
The Bayes Classifier: The Gold Standard of Classification
Explore the theoretical foundations and practical limitations of machine learning's most optimal classifier, and understand why it remains an important…
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Meng Li
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Giulio Donninelli
Active Learning: A Smarter Way to Start Machine Learning Projects
Optimizing data labeling for efficient and effective model training
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Meng Li
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Daniel
AI Large Model Data Labeling: Does It Outperform Humans?
Streamline data labeling with LLMs like GPT-4. Learn how to improve accuracy, efficiency, and scalability in machine learning projects using LLMs.
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Meng Li
The Untold Story: Small Models Behind Every Successful Large AI Model
Explore the crucial role of small models in AI, from powering large models to optimizing performance. Discover why small models are key to big AI…
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Meng Li
How Multi-Head Attention Transforms AI: The Crucial Details(AI Painting Creation Intro Course 7)
Explore how Transformers and Multi-Head Attention enhance AI models like GPT, with insights into Self-Attention, LSTM, and efficient sequence…
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Meng Li
Will the interviewer give a chance if I don't have experience with large models?
Insights from large model interviews: Why experience isn't everything, and what truly matters in AI research candidates—foundation, curiosity, and…
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Meng Li
The First Pure Attention-Free Large Model Surpasses Open-Source Giant Llama 3.1
Falcon Mamba 7B: A new open-source model challenging Transformer, handling infinite sequences on a single GPU. Now outperforming Llama 3.1.
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Meng Li
Surprising Truths About GPU Memory for Large Models: How Much Do You Really Need?
Learn how to accurately estimate GPU memory for training large models like Llama-6B, including memory changes with fp32, fp16, and int8 precision.
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Meng Li
Why Are Most Large Models Now Decoder-Only?
Discover why most large language models (LLMs) are decoder-only. Explore their efficiency, performance, and the future of AI architectures in this deep…
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Meng Li
Streamline Your AI Development: The 3 Essential Stages
Master AI model development with 3 key stages: pretraining, fine-tuning, and advanced alignment. Boost performance by leveraging domain-specific data…
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Meng Li
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