Blog Posts | Joshua Berkowitz

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How GitHub Copilot Became Smarter by Using Fewer Tools

GitHub’s engineering team discovered that giving Copilot too many tools within VS Code hindered its performance and reliability. A common frustration for myself and most developers. Their latest updat...

AI developer tools embeddings GitHub Copilot productivity tool selection VS Code

Nov 20, 2025

0 5764

News

Apple Embedding Atlas: Making Sense of Millions Through Interactive Visualization

In the world of machine learning, AI and data science, embeddings have become the universal translator for complex data. Whether you are analyzing customer feedback, exploring research papers, or unde...

data visualization embeddings machine learning open source Python TypeScript WebAssembly WebGPU

Nov 12, 2025

0 3311

Github Repos

Sentence Transformers Joins Hugging Face: What This Means for NLP Innovation

The Sentence Transformers library, a staple in natural language processing, is officially joining the Hugging Face ecosystem. This move marks a significant leap for both the tool and the community, as...

community embeddings Hugging Face machine learning NLP open source semantic search Sentence Transformers

Oct 27, 2025

0 20339

News

VS Code Gets a Major AI Code Search Upgrade: GitHub Copilot’s New Embedding Model Explained

Modern development demands quick access to the right code. With GitHub Copilot's upgraded embedding model in Visual Studio Code, developers now enjoy smarter, context-aware code search that pinpoints ...

AI code search developer productivity embeddings GitHub Copilot machine learning software engineering VS Code

Oct 11, 2025

0 18821

News

Dimension-Insensitive Metrics: DIEM vs. Cosine Similarity In High Dimensions

The paper " Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric " interrogates a default choice in machine learning and information retrieval: cos...

cosine similarity distance metrics embeddings euclidean distance NLP similarity

Sep 13, 2025

0 9119

Papers

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