In this tutorial, we build a Groq-powered agentic research workflow that runs directly using Groq’s free OpenAI-compatible inference endpoint. We […]
Category: Staff
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 […]
Google AI Releases Multi-Token Prediction (MTP) Drafters for Gemma 4: Delivering Up to 3x Faster Inference Without Quality Loss
Large language models are getting incredibly powerful, but let’s be honest—their inference speed is still a massive headache for anyone […]
When Claude Hallucinates in Court: The Latham & Watkins Incident and What It Means for Attorney Liability
There is a particular kind of irony that the legal profession rarely gets to witness in such pristine form. In […]
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 […]
Inworld AI Launches Realtime TTS-2: A Closed-Loop Voice Model That Adapts to How You Actually Talk
Voice AI has a dirty secret: most of it was never designed for conversation. The dominant paradigm — feed text […]
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. […]
Why Gradient Descent Zigzags and How Momentum Fixes It
Gradient descent has a fundamental limitation: on most real-world loss surfaces, it is inefficient. When the surface has uneven curvature—steep […]
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 […]