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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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Building a Video-to-Prompt Pipeline: Lessons from TubePrompter

Building a Video-to-Prompt Pipeline: Lessons from TubePrompter

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6 min read
Tired of API Rate Limits? Run Mistral 7B Locally with Ollama (No More Monthly API Bills)

Tired of API Rate Limits? Run Mistral 7B Locally with Ollama (No More Monthly API Bills)

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2 min read
Kaggle Code Competitions : GitHub Actions + Kaggle API Cloud Workflow

Kaggle Code Competitions : GitHub Actions + Kaggle API Cloud Workflow

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3 min read
Two Ways to Move Tensors Without Stopping: Inside vLLM's Async GPU Transfer Patterns

Two Ways to Move Tensors Without Stopping: Inside vLLM's Async GPU Transfer Patterns

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7 min read
Semantic Search in C# Without Python

Semantic Search in C# Without Python

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5 min read
Creating Custom Voice Experiences in HubSpot: A Step-by-Step Guide to Voice API Integration

Creating Custom Voice Experiences in HubSpot: A Step-by-Step Guide to Voice API Integration

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13 min read
How AI Code Review Tools Are Catching Bugs That Humans Miss

How AI Code Review Tools Are Catching Bugs That Humans Miss

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13 min read
Introducing Beacon: Why AI Agents Need a Social Protocol

Introducing Beacon: Why AI Agents Need a Social Protocol

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8 min read
How I Built a System to Detect When LLMs Don't Know Something

How I Built a System to Detect When LLMs Don't Know Something

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3 min read
Decision AI for Enterprise: How CNN-Based Deep Learning Automates Visual Classification at Scale

Decision AI for Enterprise: How CNN-Based Deep Learning Automates Visual Classification at Scale

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3 min read
Feldman v Affable Avenue: Lessons from an AI-Hallucinated Default Judgment in Federal Court

Feldman v Affable Avenue: Lessons from an AI-Hallucinated Default Judgment in Federal Court

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6 min read
Image Classification with CNNs – Part 4: Dealing with Variations in Input

Image Classification with CNNs – Part 4: Dealing with Variations in Input

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2 min read
Muscle Activation Data Modeling for Fitness Applications

Muscle Activation Data Modeling for Fitness Applications

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9 min read
Building an Exercise Database: Multi-Source Data Normalization

Building an Exercise Database: Multi-Source Data Normalization

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10 min read
為什麼你的 AI 不記得你?——以及這件事為什麼重要 | Why Your AI Doesn't Remember You

為什麼你的 AI 不記得你?——以及這件事為什麼重要 | Why Your AI Doesn't Remember You

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1 min read
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