In this tutorial, we build a realistic Zero-Trust network simulation by modeling a micro-segmented environment as a directed graph and […]
Category: Software Engineering
Fastino Labs Open-Sources GLiGuard: A 300M Parameter Safety Moderation Model That Matches or Exceeds Accuracy of Models 23–90x Its Size
As LLM-powered applications move into production — and as AI agents take on more consequential tasks like browsing the web, […]
Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration
Most AI systems today work in turns. You type or speak, the model waits, processes your input, and then responds. […]
Google DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor
The mouse pointer has sat at the center of personal computing for more than half a century. It tracks cursor […]
Build a Hybrid-Memory Autonomous Agent with Modular Architecture and Tool Dispatch Using OpenAI
In this tutorial, we begin by exploring the architecture behind a hybrid-memory autonomous agent. This system combines semantic vector search, […]
Meet AntAngelMed: A 103B-Parameter Open-Source Medical Language Model Built on a 1/32 Activation-Ratio MoE Architecture
A team researchers from China have released AntAngelMed, a large open-source medical language model that the team describes as the […]
Understanding LLM Distillation Techniques
Modern large language models are no longer trained only on raw internet text. Increasingly, companies are using powerful “teacher” models […]
Meta and Stanford Researchers Propose Fast Byte Latent Transformer That Reduces Inference Memory Bandwidth by Over 50% Without Tokenization
A team of researchers from Meta, Stanford University, and the University of Washington have introduced three new methods that substantially […]
Sakana AI and NVIDIA Introduce TwELL with CUDA Kernels for 20.5% Inference and 21.9% Training Speedup in LLMs
Scaling large language models (LLMs) is expensive. Every token processed during inference and every gradient computed during training flows through […]
A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications
In this tutorial, we implement how Memori serves as an agent-native memory infrastructure layer for building more persistent, context-aware LLM […]