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Posts tagged with 'code'
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Parallel Development with Git Worktrees and Codex CLI
Exploring how to use Git worktrees and the Codex CLI to develop multiple features concurrently.
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How Temperature Controls AI Creativity
A quick reminder of how the temperature parameter works in large language models to control the randomness and creativity of predictions.
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Why Cross‑Entropy Still Rules Loss Functions
Negative log‑likelihood beats MSE for classification—here’s an intuitive recap
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Exploring Two-Tower Ranking Models
Generating synthetic data and exploring the two-tower ranking model setup with Margin and InfoNCE loss
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Fixing "Unknown at rule" warnings for Tailwind CSS in VSCode
How to resolve VSCode CSS lint warnings for Tailwind CSS at-rules by adjusting settings and installing extensions.
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Key Concepts Behind QLoRA Fine-Tuning
Quantization + low-rank adapters let you fine-tune huge LLMs on a single GPU.
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Relationship Between L1 Norm and L1 Regularization
Exploring how L1 and L2 norms form the basis of L1 (lasso) and L2 (ridge) regularization, with concrete examples and geometric intuition.
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Why logits.exp() Equals Counts
Understanding neural network computations as log-domain operations, making multiplicative interactions additive through logs
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Batch convert m4b to m4a with ffmpeg
Easily batch-convert .m4b audiobooks to .m4a for compatibility with apps like NotebookLM using ffmpeg on macOS.
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Curse of Dimensionality
Why high-dimensional data quickly becomes sparse, distances stop making sense, and ML algorithms struggle
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Dynamically Filtering Google Sheets with QUERY and Optional Criteria
How to build a dynamic Google Sheets QUERY that applies optional filters and supports multiple values using IN clauses.
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Chain of Draft to Speed Up LLM Reasoning
Chain of Draft (CoD) prompts LLMs to use short, minimal reasoning steps, achieving near-CoT accuracy with far lower token use and latency.
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FAISS vs pgvector - why one's a library and the other's a database
FAISS is a rocket-fast in-memory index, pgvector is Postgres with vectors. Here's when to pick each, with code.
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What Does 'Ordinary' Mean in Ordinary Least Squares?
Why “ordinary” is used in OLS and how it distinguishes it from other least-squares methods.
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Python's asyncio as a JS Dev
Some quick notes on Python's asyncio module coming from JavaScript.
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Understanding Array Dimensions in NumPy
Clarifying what "dimension" really means in NumPy arrays and broadcasting.