When AI Made Me Faster Than Ever… and Then Quietly Broke My Engineering Discipline
I work in tech, and like most engineers today, I handle multiple projects at the same time with limited hours in a day.Continue reading on Code Like A Girl »
I work in tech, and like most engineers today, I handle multiple projects at the same time with limited hours in a day.Continue reading on Code Like A Girl »
Move from static prompts to visual automation. Master the 2026 workflow of amber triggers, purple AI processing, and emerald actions to…Continue reading on Medium »
Photo by Enchanted Tools on UnsplashVoice AI raises the bar for responsiveness completely.In a chatbot, a two or three second delay feels acceptable. In voice, that same delay feels strange. People start wondering if the app heard them, whether the mic…
Four layers. Four questions. Missing any one of them is how production systems fail.Every serious conversation about securing AI agents eventually produces the same result: a list of things you need to do that don’t obviously fit together. Fine-grained…
Navigating the Challenges of MCP: From Adoption to Context Management. Did Agent Skills and CLI kill MCP?Continue reading on Towards AI »
In this tutorial, we explore the full capabilities of Z.AI’s GLM-5 model and build a complete understanding of how to use it for real-world, agentic applications. We start from the fundamentals by setting up the environment using the Z.AI SDK and its OpenAI-compatible interface, and then progressively move on to advanced features such as streaming […]
The post How to Build Production-Ready Agentic Systems with Z.AI GLM-5 Using Thinking Mode, Tool Calling, Streaming, and Multi-Turn Workflows appeared first on MarkTechPost.
Designing algorithms for Multi-Agent Reinforcement Learning (MARL) in imperfect-information games — scenarios where players act sequentially and cannot see each other’s private information, like poker — has historically relied on manual iteration. Researchers identify weighting schemes, discounting rules, and equilibrium solvers through intuition and trial-and-error. Google DeepMind researchers proposes AlphaEvolve, an LLM-powered evolutionary coding agent […]
The post Google DeepMind’s Research Lets an LLM Rewrite Its Own Game Theory Algorithms — And It Outperformed the Experts appeared first on MarkTechPost.
The viral AI agentic tool let attackers silently gain admin unauthenticated access.
In this tutorial, we build a complete end-to-end pipeline using NVIDIA Model Optimizer to train, prune, and fine-tune a deep learning model directly in Google Colab. We start by setting up the environment and preparing the CIFAR-10 dataset, then define a ResNet architecture and train it to establish a strong baseline. From there, we apply […]
The post Step by Step Guide to Build an End-to-End Model Optimization Pipeline with NVIDIA Model Optimizer Using FastNAS Pruning and Fine-Tuning appeared first on MarkTechPost.
Source: Image by MicrosoftIf you have been building with the earlier beta versions of Microsoft’s Agent Framework, take a deep breath. The new 1.0.0 release isn’t just a small cleanup or a few bug fixes — it is a massive architectural shift.At first gl…