GenAI

Recent years have seen a surge in development of formal ontologies within the domain of built environment. Yet, experts and novices alike face difficulties in locating relevant ontologies, hampering adoption. This

spoiler: most tools will not even survive 90 days. this guy is literally giving away the exact 2026 playbook for AI Agents. he covers what to learn, what to build, and what to skip 👀 ↓ read this today

An important primitive for the new "AI agent era"

Connect NotebookLM to Claude Cowork to build reports, infographics, dashboards, and custom apps. All powered by your own notebooks.

Hierarchal Agent Loop Optimizer HALO is an RLM-based agent optimization technique capable of recursively self-improving agents by analyzing their execution traces and suggesting changes. This work is inspired by the Mismanaged Genius Hypothesis

実際に映像化する場合はキャラシート内の各パーツをフルサイズ化できるのでR2V的に問題ないことは判ってる

duct-tape-3 (GPT-Image-2)

What does context mean, and how can we define context using graphs and ontologies? How can different types of graphs and graph technologies power AI?

Learn how Video-RAG boosts training-free and low-compute long-video understanding by pairing OCR, ASR, and open-vocabulary detection with any long-video LVLMs.

18 likes, 2 comments. "How to build local Multimodal RAG with Qwen3-VL | by NEXA Community member"

Video OCR, long video understanding, and video grounding

Learn how Video-RAG boosts training-free and low-compute long-video understanding by pairing OCR, ASR, and open-vocabulary detection with any long-video LVLMs.

GPT image 2 x Seedance 2.0 Prompt : ⤵️

You can create a character reference sheet in any style you want for use in your Seedance 2.0 videos. All you need to do is either provide a reference image or describe your character. You can also input random values to generate

Deploying long horizon agents in production requires purpose-built infrastructure. This guide covers durable execution, memory, HITL, observability, and how deepagents deploy ships it all to production.

In this article, I'll debunk what LLM judges are and go through why they are the best for LLM evaluation.

An overview of the architectural shift from Shallow Agents (Agent 1.0) to Deep Agents (Agent 2.0) and how to build complex AI agents that can handle multi-step tasks over extended periods.

🚀 Curated GPT Image 2 prompt library — OpenAI's next-gen image model with pixel-perfect text rendering, cross-image consistency, and commercial-grade illustration. 16 languages. Free & open...