Forem

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 an Intelligent RAG System with Query Routing, Validation and Self-Correction

Building an Intelligent RAG System with Query Routing, Validation and Self-Correction

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16 min read
Data-Scarce GANs? Unlock Hyperrealistic AI with Adaptive Augmentation!

Data-Scarce GANs? Unlock Hyperrealistic AI with Adaptive Augmentation!

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2 min read
EuroLLM: LLM made in Europe built to support all 24 official EU languages
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EuroLLM: LLM made in Europe built to support all 24 official EU languages

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4 min read
**Generative vs

**Generative vs

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1 min read
Squeezing Every Last Flop: The INT vs. FP Showdown for AI Dominance

Squeezing Every Last Flop: The INT vs. FP Showdown for AI Dominance

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2 min read
python 连接 bittensor的子网

python 连接 bittensor的子网

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1 min read
Mastering Support Vector Regression for Real-World Analytics

Mastering Support Vector Regression for Real-World Analytics

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7 min read
The Forgotten Hero in the AI Workflow

The Forgotten Hero in the AI Workflow

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4 min read
Squeezing AI into Tiny Spaces: The Integer Revolution

Squeezing AI into Tiny Spaces: The Integer Revolution

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2 min read
Networks of Thought: Finding Your Research Niche in the Age of LLMs

Networks of Thought: Finding Your Research Niche in the Age of LLMs

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4 min read
Discovering JavaScript's Hidden Secrets: Understanding Numerical Algorithms.
Cover image for Discovering JavaScript's Hidden Secrets: Understanding Numerical Algorithms.

Discovering JavaScript's Hidden Secrets: Understanding Numerical Algorithms.

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14 min read
Daft vs Ray Data: A Comprehensive Comparison for Multimodal Data Processing
Cover image for Daft vs Ray Data: A Comprehensive Comparison for Multimodal Data Processing

Daft vs Ray Data: A Comprehensive Comparison for Multimodal Data Processing

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6 min read
3D Scanning Revolution: Reconstruct Anything, Anywhere, No Markers Required!

3D Scanning Revolution: Reconstruct Anything, Anywhere, No Markers Required!

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2 min read
🚫📩 Build a Spam Message Classifier with Python (Step-by-Step for Beginners)

🚫📩 Build a Spam Message Classifier with Python (Step-by-Step for Beginners)

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4 min read
AI's Microscopic Eye: Seeing the Unseen in Manufacturing

AI's Microscopic Eye: Seeing the Unseen in Manufacturing

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2 min read
Spiking Nets: The Energy-Saving Secret Weapon AI Needs by Arvind Sundararajan

Spiking Nets: The Energy-Saving Secret Weapon AI Needs by Arvind Sundararajan

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2 min read
Agentic Context Engineering: A Complete Guide to Stanford's Self-Learning Agent Framework

Agentic Context Engineering: A Complete Guide to Stanford's Self-Learning Agent Framework

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6 min read
Object Genesis: Reconstructing Reality on the Fly by Arvind Sundararajan

Object Genesis: Reconstructing Reality on the Fly by Arvind Sundararajan

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2 min read
Snap & Splat: Turn Everyday Objects into 3D Models with Your Phone

Snap & Splat: Turn Everyday Objects into 3D Models with Your Phone

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2 min read
KNN: The Importance of Being Scaled
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KNN: The Importance of Being Scaled

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8 min read
What Is LLM‑as‑a‑Judge? A Practical, Reliable Path to Evaluating AI Systems

What Is LLM‑as‑a‑Judge? A Practical, Reliable Path to Evaluating AI Systems

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7 min read
Fitting KNN: From Overfit to Underfit and Everything Between
Cover image for Fitting KNN: From Overfit to Underfit and Everything Between

Fitting KNN: From Overfit to Underfit and Everything Between

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9 min read
A worker fell into a nuclear reactor pool
Cover image for A worker fell into a nuclear reactor pool

A worker fell into a nuclear reactor pool

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4 min read
How do you handle the Cold Start Problem for a semantic knowledge graph? (TF-IDF vs. Fine-Tuned BERT)

How do you handle the Cold Start Problem for a semantic knowledge graph? (TF-IDF vs. Fine-Tuned BERT)

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1 min read
From Tool to Partner: The Rise of Large Model Agents

From Tool to Partner: The Rise of Large Model Agents

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3 min read
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