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How to Build a Multi-Agent Trading Research System with
Semiconductor Industry Blog Review: August 12, 2026
From Prototype to Production: The Architecture Behind Secure...
Kog Goes Deeper to Squeeze More Inference Out of GPUs
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Scaling AI Agents with Trustworthy Dataβ10
Scaling AI agents demands trustworthy data. Learn how modern data infrastructure overcomes silos and legacy systems to unlock reliable, autonomous AI.
Deontic Policies for Runtime Governance of Agentic AI Systemsβ10
AgenticRei proposes deontic policies for runtime governance of AI agents, managing obligations, waivers, and conflict resolution beyond traditional access contr...
Can a Local LLM Run My AI Assistant? A 27-Task Replay Testβ10
Can a local LLM power an AI assistant? A 27-task replay test found a 3ΓRTX 3090 setup with a 122B model scored 80/100β787Γ cheaper than Claude.
LangChain vs LangGraph: 4 Key Differences and When to Use Eachβ10
Looking to choose between LangChain and LangGraph? Discover 4 key differences, from pipelines to loops, and when to use each tool.
The Alignment Community Is Unintentionally Building a Censor's Toolkitβ10
AI alignment methods meant to ensure safety are being repurposed as tools for censorship and manipulation, warns a new paper urging the field to address dual-us...
Position: Reasoning is a Learnable Rule-Based Processβ10
Reasoning in AI needs clear definitions. This paper positions it as a learnable rule-based process and proposes best practices for evaluating and communicating ...
How to Build Production-Grade Agents with Pydantic AIβ10
Build production-grade AI agents with Pydantic AI: solve brittle outputs, tool boilerplate, context, testing, retries, and model-switching.
How to Bring Your Software Delivery Workflow into GitHub withβ10
Discover how agent apps can transform your software delivery workflow on GitHub, automating tasks and accelerating releases in 2026.
Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquilaβ10
Fine-tune Qwen3-0.6B with LoRA on XYZ-Aquila-SFT tool-calling data. Full pipeline from preprocessing to evaluation for skill enhancement.
What Happens to a Medical Image Before and After a Model Sees Itβ10
Discover how medical images are processed before AI models see themβfrom acquisition to predictionβand learn key terminology like DICOM, anonymization, and prep...