In this tutorial, we work through an implementation of NVIDIA Apex, focusing on the components that still matter in modern […]
Category: Deep Learning
Nous Research Proposes Lighthouse Attention: A Training-Only Selection-Based Hierarchical Attention That Delivers 1.4–1.7× Pretraining Speedup at Long Context
Training large language models on long sequences has a well-known problem: attention is expensive. The scaled dot-product attention (SDPA) at […]
Anthropic Introduces Natural Language Autoencoders That Convert Claude’s Internal Activations Directly into Human-Readable Text Explanations
When you type a message to Claude, something invisible happens in the middle. The words you send get converted into […]
A Coding Guide to Survey Bias Correction Using Facebook Research Balance with IPW CBPS Ranking and Post Stratification Methods
In this tutorial, we walk through a complete, end-to-end workflow for correcting bias in survey data using the balance library. […]
A Coding Implementation of End-to-End Brain Decoding from MEG Signals Using NeuralSet and Deep Learning for Predicting Linguistic Features
In this tutorial, we explore how we can decode linguistic features directly from brain signals using a modern neuroAI pipeline. […]
Top 10 KV Cache Compression Techniques for LLM Inference: Reducing Memory Overhead Across Eviction, Quantization, and Low-Rank Methods
As large language models scale to longer context windows and serve more concurrent users, the key-value (KV) cache has emerged […]
Mend Releases AI Security Governance Framework: Covering Asset Inventory, Risk Tiering, AI Supply Chain Security, and Maturity Model
There’s a pattern playing out inside almost every engineering organization right now. A developer installs GitHub Copilot to ship code […]
Mend.io Releases AI Security Governance Framework Covering Asset Inventory, Risk Tiering, AI Supply Chain Security, and Maturity Model
There’s a pattern playing out inside almost every engineering organization right now. A developer installs GitHub Copilot to ship code […]
A Detailed Implementation on Equinox with JAX Native Modules, Filtered Transforms, Stateful Layers, and End-to-End Training Workflows
In this tutorial, we explore Equinox, a lightweight and elegant neural network library built on JAX, and show how to […]
A Coding Implementation to Build a Conditional Bayesian Hyperparameter Optimization Pipeline with Hyperopt, TPE, and Early Stopping
In this tutorial, we implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt and the Tree-structured Parzen Estimator (TPE) algorithm. […]