Large language models are remarkably capable, yet frustratingly opaque. When a model misbehaves — generating responses in the wrong language, […]
Category: Applications
A Coding Deep Dive into Agentic UI, Generative UI, State Synchronization, and Interrupt-Driven Approval Flows
In this tutorial, we build the entire Agentic UI stack from the ground up using plain Python, without relying on […]
Moonshot AI Open-Sources FlashKDA: CUTLASS Kernels for Kimi Delta Attention with Variable-Length Batching and H20 Benchmarks
The team behind Kimi.ai (Moonshot AI) just made a significant contribution to the open-source AI infrastructure space. The research team […]
Microsoft Research’s World-R1 Uses Flow-GRPO and 3D-Aware Rewards to Inject Geometric Consistency Into Wan 2.1 Without Architectural Changes
Video foundation models can paint a beautiful frame. They are still notoriously bad at remembering it. Push the camera through […]
Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs
The race to make large language models faster and cheaper to run has largely been fought at two levels: the […]
Step by Step Guide to Build a Complete PII Detection and Redaction Pipeline with OpenAI Privacy Filter
In this tutorial, we build a complete, production-style pipeline for detecting and redacting personally identifiable information using the OpenAI Privacy […]
Poolside AI Introduces Laguna XS.2 and M.1: Agentic Coding Models Reaching 68.2% and 72.5% on SWE-bench Verified
Poolside AI released the first two models in its Laguna family: Laguna M.1 and Laguna XS.2. Alongside these, the company […]
How to Build Traceable and Evaluated LLM Workflows Using Promptflow, Prompty, and OpenAI
In this tutorial, we build a complete, production-style LLM workflow using Promptflow within a Colab environment. We begin by setting […]
Build a Reinforcement Learning Powered Agent that Learns to Retrieve Relevant Long-Term Memories for Accurate LLM Question Answering
In this tutorial, we build a Reinforcement Learning–driven agent that learns how to retrieve relevant memories from a long-term memory […]
Meta AI Releases Sapiens2: A High-Resolution Human-Centric Vision Model for Pose, Segmentation, Normals, Pointmap, and Albedo
If you’ve ever watched a motion capture system struggle with a person’s fingers, or seen a segmentation model fail to […]