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#Machine Learning

6 posts tagged with "Machine Learning"

Django as Your AI Backend -- Serving ML Models Without the Microservices Tax
AI Integration/EngineeringFeb 24, 202613 min read

Django as Your AI Backend -- Serving ML Models Without the Microservices Tax

The network latency between your Django app and your FastAPI ML service is probably longer than inference itself. Here is how to serve models from Django directly.

DjangoPythonAIMachine Learning
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Edge AI in 2026: Why Running Models on Tiny Devices Is Bigger Than You Think
AI Integration/Edge ComputingFeb 22, 202616 min read

Edge AI in 2026: Why Running Models on Tiny Devices Is Bigger Than You Think

Not everything needs the cloud. Edge AI is putting real intelligence on devices, sensors, and cameras — with millisecond latency and zero internet dependency. Here is where the technology actually stands.

Edge AIIoTTinyMLOn-Device AI
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DeepSeek and Qwen Just Captured 15% of the Global AI Market
AI Integration/Open SourceJan 30, 202617 min read

DeepSeek and Qwen Just Captured 15% of the Global AI Market

DeepSeek and Alibaba's Qwen surged from 1% to 15% global AI market share in a single year. With 700M+ Hugging Face downloads, open-source AI from China is reshaping enterprise choices, developer workflows, and the competitive landscape.

AIOpen SourceDeepSeekQwen
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Falcon-H1R: How a 7B Model Is Beating AI Models 7x Its Size
AI Integration/Machine LearningJan 30, 202615 min read

Falcon-H1R: How a 7B Model Is Beating AI Models 7x Its Size

TII's Falcon-H1R 7B scores 88.1% on AIME-24 math, outperforming 15B models. Built on a hybrid Transformer-Mamba architecture, it signals a new era for efficient AI. Here's what it means for developers.

AIFalcon-H1RMambaMachine Learning
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The Rise of Smaller, Domain-Specific AI Models: Why Bigger Isn't Always Better
AI Integration/Machine LearningJan 27, 20268 min read

The Rise of Smaller, Domain-Specific AI Models: Why Bigger Isn't Always Better

The AI industry is shifting from massive general-purpose models to smaller, specialized ones that outperform giants in specific tasks. Here's why this matters and how to take advantage of it.

AIOpen SourceMachine LearningSLM
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Why Small Language Models Are Winning in 2026: The Shift from GPT Giants to Efficient AI
AI Integration/Machine LearningJan 16, 20268 min read

Why Small Language Models Are Winning in 2026: The Shift from GPT Giants to Efficient AI

The AI industry is pivoting from massive models to efficient SLMs offering 10-30x reductions in latency and cost. Learn why smaller is better and how to leverage SLMs in your applications.

AISLMMachine LearningEfficiency
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