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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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LLM Context Window Expander: Novel Activation Beacon Technique Boosts Performance

LLM Context Window Expander: Novel Activation Beacon Technique Boosts Performance

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4 min read
Wi-Fi Reliability Boost with "It's Your Turn" Channel Contention Mechanism

Wi-Fi Reliability Boost with "It's Your Turn" Channel Contention Mechanism

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4 min read
Unlocking LLM Potential: Collaborative Multi-Agent Approach

Unlocking LLM Potential: Collaborative Multi-Agent Approach

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3 min read
Unleash Deep Learning on Limited Hardware with Standalone 16-bit Precision

Unleash Deep Learning on Limited Hardware with Standalone 16-bit Precision

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4 min read
AI E-LAB 3.0 Online Info Session

AI E-LAB 3.0 Online Info Session

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1 min read
Text Classification vs. Token Classification in NLP: Key Differences, Use Cases, and Performance Optimization

Text Classification vs. Token Classification in NLP: Key Differences, Use Cases, and Performance Optimization

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5 min read
how to handle outliers in machine learning

how to handle outliers in machine learning

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6 min read
DDR5 Speed, CPU and LLM Inference

DDR5 Speed, CPU and LLM Inference

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4 min read
Transform Your Text Analysis Journey: How KeyBERT is Changing the Game for Keyword Extraction!

Transform Your Text Analysis Journey: How KeyBERT is Changing the Game for Keyword Extraction!

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2 min read
Why You Need Distributed Computing for Real-World Machine Learning

Why You Need Distributed Computing for Real-World Machine Learning

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5 min read
Leveraging AI/ML in DevOps Automation: A Practical Handbook for Teams

Leveraging AI/ML in DevOps Automation: A Practical Handbook for Teams

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5 min read
Optimizing Your Neural Networks

Optimizing Your Neural Networks

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6 min read
How ChatGPT saves GPU time? The Concept of Model Distillation

How ChatGPT saves GPU time? The Concept of Model Distillation

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7 min read
How to Choose the Right Algorithm for Model Training

How to Choose the Right Algorithm for Model Training

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1 min read
Visual Tokenization: Diffusion Guides Iterative Refinement on Latent Representations

Visual Tokenization: Diffusion Guides Iterative Refinement on Latent Representations

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3 min read
GSM-Symbolic: Enhancing Math Reasoning in Large Language Models with Symbolic Capabilities

GSM-Symbolic: Enhancing Math Reasoning in Large Language Models with Symbolic Capabilities

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3 min read
Scaling Laws Unlock Potential of Diffusion Transformer AI Models

Scaling Laws Unlock Potential of Diffusion Transformer AI Models

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3 min read
Skip Hash: Fast Concurrent Ordered Map with Efficient Range Queries Using Software Transactional Memory

Skip Hash: Fast Concurrent Ordered Map with Efficient Range Queries Using Software Transactional Memory

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4 min read
New Benchmark Reveals Limitations of Long-Context AI Language Models

New Benchmark Reveals Limitations of Long-Context AI Language Models

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4 min read
Neural Networks' "Grokking" Emergence: Linear Separability's Role Unveiled

Neural Networks' "Grokking" Emergence: Linear Separability's Role Unveiled

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4 min read
New Protocol Generalizes Multicast for Wider Range of Failures and Networks

New Protocol Generalizes Multicast for Wider Range of Failures and Networks

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3 min read
🛡️ Building Safe and Responsible AI with Amazon Bedrock Guardrails 🛡️

🛡️ Building Safe and Responsible AI with Amazon Bedrock Guardrails 🛡️

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3 min read
Keeping Pace with AI: Optimizing Network Infrastructure To Handle Growing AI Workloads

Keeping Pace with AI: Optimizing Network Infrastructure To Handle Growing AI Workloads

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6 min read
Building a Fraud Detection System in Python with Machine Learning

Building a Fraud Detection System in Python with Machine Learning

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3 min read
Computer Vision Meetup: Using Elastic Vector Search in FiftyOne 11:25

Computer Vision Meetup: Using Elastic Vector Search in FiftyOne

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1 min read
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