Evaluating AI models trained on brain signals has long been a messy, inconsistent topic. Different research groups use different preprocessing […]
Category: Applications
Zyphra Releases ZAYA1-8B: A Reasoning MoE Trained on AMD Hardware That Punches Far Above Its Weight Class
Zyphra AI has released ZAYA1-8B, a small Mixture of Experts (MoE) language model with 760 million active parameters and 8.4 […]
CopilotKit Introduces Enterprise Intelligence Platform That Gives Agentic Applications Persistent Memory Across Sessions and Devices
Most agentic applications today have a memory problem. Every time a user opens a new session, the agent starts from […]
How to Build a Fully Interactive Multi-Page NiceGUI Application with Real-Time Dashboard, CRUD Operations, File Upload, and Async Chat
In this tutorial, we build a fully interactive, multi-page web application using NiceGUI. We start by setting up the environment […]
Closing the ‘Expressivity Gap’: How Mistral’s Voxtral TTS is Redefining Multilingual Voice Cloning with a Hybrid Autoregressive and Flow-Matching Architecture
Voice AI has a dirty secret. Most text-to-speech systems sound fine — until they don’t. They can read a sentence. […]
Build a Modular Skill-Based Agent System for LLMs with Dynamic Tool Routing in Python
In this tutorial, we build a complete skill-based agent system for large language models and explore how modular capabilities can […]
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. […]
Zyphra Introduces Tensor and Sequence Parallelism (TSP): A Hardware-Aware Training and Inference Strategy That Delivers 2.6x Throughput Over Matched TP+SP Baselines
Training and serving large transformer models at scale is fundamentally a memory management problem. Every GPU in a cluster has […]
How to Build an End-to-End Production Grade Machine Learning Pipeline with ZenML, Including Custom Materializers, Metadata Tracking, and Hyperparameter Optimization
In this tutorial, we walk through an end-to-end implementation of an advanced machine learning pipeline using ZenML. We begin by […]
Top Search and Fetch APIs for Building AI Agents in 2026: Tools, Tradeoffs, and Free Tiers
Web search and content retrieval have quietly become the most critical infrastructure decisions in AI agent development. An agent without […]