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Deep Learning

This tag is for discussing, sharing articles, and asking questions primarily on deep learning - a subfield of machine learning.

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SFT vs. RL: What Changes Inside the Model?

SFT vs. RL: What Changes Inside the Model?

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6 min read
How Multi-Agent AI Discovered a New Enzyme System in Phage DNA

How Multi-Agent AI Discovered a New Enzyme System in Phage DNA

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4 min read
Recognizing ASL Letters with CNN and Ensemble Learning

Recognizing ASL Letters with CNN and Ensemble Learning

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3 min read
25 LLM architecture blocks, side by side, in runnable PyTorch

25 LLM architecture blocks, side by side, in runnable PyTorch

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8 min read
Prompt Engineering for Cinematic Video: How to Control Camera Trajectory and Subject Consistency Across Video Models

Prompt Engineering for Cinematic Video: How to Control Camera Trajectory and Subject Consistency Across Video Models

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4 min read
Fine-tuning was the easy part: what shipping ASR for a low-resource language taught me

Fine-tuning was the easy part: what shipping ASR for a low-resource language taught me

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11 min read
Shadow EMA: model rationale and architecture

Shadow EMA: model rationale and architecture

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7 min read
# Beyond Transformers: A Mathematical Critique of Cross-Lingual Diffusion Architectures

# Beyond Transformers: A Mathematical Critique of Cross-Lingual Diffusion Architectures

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3 min read
Where Does 'Meaning' Come From in a Transformer?

Where Does 'Meaning' Come From in a Transformer?

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8 min read
Beyond Single Sensors: AI-Driven Multimodal Fusion for Smarter Grid Maintenance

Beyond Single Sensors: AI-Driven Multimodal Fusion for Smarter Grid Maintenance

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2 min read
Discriminative Fine-Tuning: Why Your Backbone and Your Head Shouldn't Learn at the Same Speed

Discriminative Fine-Tuning: Why Your Backbone and Your Head Shouldn't Learn at the Same Speed

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6 min read
Deep Generative Models: Four Ways to Make Complex Distributions Learnable

Deep Generative Models: Four Ways to Make Complex Distributions Learnable

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7 min read
Detectar volatilidad anómala en los mercados con un Temporal Fusion Transformer

Detectar volatilidad anómala en los mercados con un Temporal Fusion Transformer

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2 min read
From Data to Deployment: What an End-to-End Machine Learning Workflow Actually Looks Like

From Data to Deployment: What an End-to-End Machine Learning Workflow Actually Looks Like

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9 min read
Normalizing Constants: Turning Neural Network Scores into Probability Distributions

Normalizing Constants: Turning Neural Network Scores into Probability Distributions

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5 min read
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