Social Media Ideas for Ai Experimentation

Combining AI Experiments to create ChangeAtlas

Adaptive Experimentation with Meta’s Ax: A Practical Coding Guide

In this tutorial, we explore adaptive experimentation using Meta’s Ax with the modern Client API. We work through a complete workflow where we tune a RandomForest model on a synthe...

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The Side Quest Theory of AI Learning (Why ROI-First Thinking Keeps You Stuck)

The people getting really good at AI aren't measuring every experiment against immediate ROI. They're doing side quests — and here's why that compounds into real skill.

How to Build an Evaluation Harness for AI Agents Before Production

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The AI That Knows It’s Being Tested

What happens once evaluation becomes just another prompt to gameContinue reading on Medium »

The Triple A of AI: articulate, accelerate, amplify

Learning new (AI) skills

Agentic AI Frameworks: Choose, Build, and Test AI Agents

Agentic AI frameworks let LLMs plan, use tools, and act autonomously. Compare 7 leading frameworks, see how to choose one, and how to test the agents you build.

Exploring AI as an engineering manager

The AI paradox: why mobile embraces AI and triple-A holds back

Everyone in games is talking about AI, but the industry can't agree whether it's a revolution or a bubble. Pocket Gamer Connects Summit Shanghai gathered studio operators and inve...

AI powering the global engine for game studios

Huang Zhoubin, Sr. Gaming SA Manager with Amazon Web Services, breaks down the role of  Artificial Intelligence in game development - and how the company is helping developers solv...

Rehearse Before You Automate: Why AI Agents Should Practice Before They Act

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AI Artificial Intelligence

Building AI Agents? Here Are Some Anti-Patterns to Avoid.

Agent systems change constantly in production.

Model experiments became an architectural stress test

I've been tuning Codenames AI, a small web game where an LLM plays Codenames with you. Clue generation is tightly constrained: one word, a count, optional intended targets, JSON on...

Building a Production AI Agent in Spring Boot: A/B Testing Prompts With an LLM Judge (Part 9)

Last week I changed a system prompt based on a feeling. It was the first prompt change after the evaluation harness from Part 8 went live, and I was completely sure about it. The...

Razer and NUS launch Singapore AI lab to rethink how games respond to players

For years, artificial intelligence in games has mostly meant enemies that chase, dodge or shoot with varying degrees of believability. Razer and the National University of Singapor...

Your company already runs the hardest parts of an AI agent platform

Every AI agent session starts as a fresh mind. It has no memory of yesterday, no memory of the correction you gave it last week, and no idea what your company has already decided....

AI của Anthropic bắt đầu tá»± Ä‘iá»u khiển phòng thí nghiệm, tá»± làm thí nghiệm thay con ngÆ°á»i

Anthropic Ä‘ang thá»­ nghiệm hệ thống cho phép AI nhÆ° Claude tá»± Ä‘iá»u khiển kính hiển vi, laser, cánh tay robot và thiết bị phòng thí nghiệm để làm th...

Thoughts on Developing With A(ccelerated) I(nference)

AI stands for artificial intelligence, yet I prefer the term Dr. Venkat Subramaniam used in one of his talks: Accelerated Inference. To my mind, it is far more accurate, so I have...

Continuous AI Agent Testing: From CI Gate to Production Loop

Continuous AI agent testing replaces one-off evaluation with a loop: pre-merge checks, a CI gate, release sign-off, and production feedback that writes tests.

Agentic RAG: Let the Agent Search

A minimal OpenAI Agents SDK implementation where retrieval becomes a search-read-decide loop The post Agentic RAG: Let the Agent Search appeared first on Towards Data Science.

How China's game industry is using AI, from art to ad-buying

AI in gaming usually gets discussed through concept art, NPCs and speculative demos. We got an inside look at what's actually running behind the scenes at Chinese gaming companies....