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Building a VideoAgent-Style Multi-Agent System: Intent Parsing, Graph Planning, and Tool Routing for Video Editing Tasks
def tool_shot_planner(instruction, captions): """Global-aware storyboard sub-queries from instruction + caption bank.""" bank = "; ".join(sorted({c for c in captions})) if llm.available(): sys_p = ("You are…
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Building Models in Two Worlds: From Latent Constructs to Behavioral Signals
Two response variables that look identical and aren’t , the thing I…
The Three Dimensions of Custom Agentic Alignment: Purpose, Principles and Practices
are rapidly moving from experimental prototypes to embedded actors across industries, government…
Stanford Researchers Introduce TRACE: A Capability-Targeted Agentic Training System That Turns Recurrent Agent Failures Into Synthetic RL Environment
Agentic LLMs often fail the same way, again and again. A Stanford…
Prime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations
Prime Intellect launched verifiers 0.2.0. It previews a rewritten core, shipped under…
Meet NeuroVFM: A New Neuroimaging Foundation Model Trained With Vol-JEPA on Uncurated Clinical MRI and CT Volumes
Frontier models learn mostly from public internet data. However, clinical neuroimaging rarely…
Guide to Loop Engineering: How ‘autoresearch’ and ‘Bilevel Autoresearch’ Turn AI Agents Into Autonomous Machine Learning ML Research Loops
Most people still use AI like a 2015 search box. You type,…
RAG vs Fine-Tuning Explained: What They Actually Do and When to Use Each
, I have written quite a lot about RAG, starting with the…
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