The race to make large language models faster and cheaper to run has largely been fought at two levels: the […]
Category: Applications
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 […]
xAI Launches grok-voice-think-fast-1.0: Topping τ-voice Bench at 67.3%, Outperforming Gemini, GPT Realtime, and More
Building a production-grade voice AI agent is one of the hardest engineering challenges in applied machine learning today. It is […]
Google DeepMind Introduces Vision Banana: An Instruction-Tuned Image Generator That Beats SAM 3 on Segmentation and Depth Anything V3 on Metric Depth Estimation
For years, the computer vision community has operated on two separate tracks: generative models (which produce images) and discriminative models […]
Meet GitNexus: An Open-Source MCP-Native Knowledge Graph Engine That Gives Claude Code and Cursor Full Codebase Structural Awareness
There is a quiet failure mode that lives at the center of every AI-assisted coding workflow. You ask Claude Code, […]
A Coding Implementation on Microsoft’s OpenMementos with Trace Structure Analysis, Context Compression, and Fine-Tuning Data Preparation
In this tutorial, we work with Microsoft’s OpenMementos dataset and explore how reasoning traces are structured through blocks and mementos […]