🌍📷 5 Top AI Agents for Earth Snapshots: VLMs and LLMs for Geospatial Intelligent Analysis

》Breakthrough Research: A Comparison of State-of-the-Art Models

✸ GeoChat
✸ GEOBench-VLM
✸ RS5M Dataset
✸ VHM
✸ EarthGPT

Paper: arxiv.org/pdf/2311.15826

AI Agents:
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🧭🎭OCR Noise in RAGs: Dual OCR + VLM Fix for Semantic & Formatting Issues

OHRBench is the first benchmark designed to evaluate the cascading effects of OCR noise on RAG systems.

Noise types: Semantic Noise, Formatting Noise

Github: github.com/opendatalab/...
Paper: arxiv.org/pdf/2412.02592

🪝💳Phishing Detection with Multimodal AI Agents: Solution to Complex Phishing

Paper: arxiv.org/pdf/2412.02301

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🧪💊DrugAgent: AI Multi-Agent Framework Automating Complex Drug Discovery

paper: arxiv.org/pdf/2411.15692

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🧪👩‍🔬A Multi-Agent for Materials Discovery: LLMs + DFS + Memory Reflection for Metallic Glasses

Paper: arxiv.org/pdf/2411.16416

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🔮🔛 AI Suite | Andrew Ng: Simple, unified interface to multiple Generative AI providers.

Github: github.com/andrewyng/ai...

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💊📃Path-RAG: 47% Better Cancer Diagnosis with RAG + HistoCartography

Paper: arxiv.org/pdf/2411.17073

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🐫 CAMEL Role-Playing Scraper for Sophisticated AI Agents leading to Knowledge Graph Generation

CAMEL AI is transforming agent-based language models by introducing role-playing agents.

Github: github.com/camel-ai/camel

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ImageRAG: Transforming Satellite Imagery, Medical Imaging, and Climate Monitoring with AI 🌍🔬🌦️

Paper: arxiv.org/pdf/2411.07688

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RAG in Medicine: MedRGB RAG Framework for Accuracy in Healthcare 🚀

🩺🤖Medical AI is here—but is it trustworthy enough?

👩🏻‍💻Paper: arxiv.org/pdf/2411.09213

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FinRobot Multi-Agents just published: Finance Agents with 3 Chain of Thoughts + Human-like Precision

👩🏻‍💻Paper: arxiv.org/pdf/2411.08804

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🪄 Launch Date: 22 ̲N̲o̲v̲e̲m̲b̲e̲r̲

🔬⚙️LLMs + RAG for Material Sciences Prediction: Meet ElaTBot-DFT

🪄》Paper: arxiv.org/pdf/2411.12280

🖼️ Visualization made by Maryam Miradi

🔮Learn Building Real-World AI Agents with CrewAI, LangGraph/Langchain and OpenAI Swarm? ⟱
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🪄 Launch Date: 22 November

🔮GeoAgent: Recent Powerful Fusion of MCTS, RAG, and Code Interpretation for or High-Impact Geospatial Data Automation
🪄》Paper: arxiv.org/pdf/2410.18792
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