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+---
+keywords: [intermediate, concept, AI, ai, deAI, deai]
+---
+
+import { MarkdownChipRow } from "/src/components/Chip/MarkdownChipRow";
+
+# Overview
+
+<MarkdownChipRow labels={["Intermediate", "Concept" ]} />
+
+## What is decentralized AI?
+
+Decentralized artificial intelligence (DeAI or decentralized AI) is a form of AI and machine learning that utilizes blockchain technologies and decentralized protocols such as ICP. ICP enables truly decentralized AI by running services on-chain, providing a permissionless and secure way to run machine learning applications. 
+
+Canisters can be used to host AI services and run machine learning algorithms using popular AI/ML frameworks and libraries. HTTPS outcalls can be used to make API calls to external AI APIs like OpenAI.
+
+## ICP AI projects
+
+Several community projects that showcase how to use AI on ICP are available:
+
+- [ArcMind AI](https://github.com/arcmindai/arcmindai): An autonomous agent using Chain of Thoughts for reasoning and actions. Try the [app in-browser](https://arcmindai.app).
+
+- [ArcMind Vector DB](https://github.com/arcmindai/arcmindvector): A vector database that supports text, image, and audio embedding.
+
+- [DeVinci](https://github.com/patnorris/DecentralizedAIonIC): An AI chatbot that uses an open-source LLM. [Check out the canister yourself](https://x6occ-biaaa-aaaai-acqzq-cai.icp0.io/).
+
+- [ICGPT](https://github.com/icppWorld/icgpt): A React frontend that uses a C/C++ backend running an LLM fully on-chain. [Check it out yourself](https://icgpt.icpp.world/).
+
+- [ic-mnist](https://github.com/smallstepman/ic-mnist): A sort of machine learning 'Hello, world!' running on ICP. [Try it here](https://jsi2g-jyaaa-aaaam-abnia-cai.icp0.io/).
+
+- [ELNA AI](https://github.com/elna-ai): A fully on-chain AI agent platform and marketplace. Supports both on-chain and off-chain LLMs. [Try it here](https://dapp.elna.ai/).
+
+- [Tensorflow on ICP](https://github.com/carlosarturoceron/decentAI): An Azle example that uses a pre-trained model for making predictions.
+
+- [MotokoLearn](https://github.com/ildefons/motokolearn): A Motoko package that enables on-chain machine learning.
+
+- [Tract-IC-AI](https://github.com/jeshli/tract-ic-ai): An ICP variations of Tract. 
+
+- [Rust-Connect-Py-AI-to-IC](https://github.com/jeshli/rust-connect-py-ai-to-ic): Open-source tool for deploying Python AI models.
+
+- [Juno + OpenAI](https://github.com/peterpeterparker/juno-openai): An example using Juno and OpenAI to generate images from prompts. 
+
+## AI resources
+
+Machine learning programming:
+
+- [C++ CDK](https://docs.icpp.world/index.html)
+
+- [Rust Burn](https://github.com/Tracel-AI/burn)
+
+- [Tinygrad (Python)](https://github.com/tinygrad/tinygrad)
+
+Distributed AI compute:
+
+- [RingAttention](https://arxiv.org/abs/2310.01889)
+
+- [PetalsML](https://github.com/bigscience-workshop/petals)
+
+- [Stable Horde](https://stablehorde.net/)
+
+
+Lightweight AI models:
+
+- [TinyLlama](https://github.com/jzhang38/TinyLlama)
+
+- [Qwen 1.8B Chat](https://huggingface.co/Qwen/Qwen-1_8B-Chat)
+
+- [SSD-1B](https://huggingface.co/segmind/SSD-1B)
+
+- [Gorilla LLM](https://gorilla.cs.berkeley.edu/)
+
+
+## Technical working group: DeAI
+
+A technical working group dedicated to discussing decentralized AI and related projects meets bi-weekly on Thursdays at 5pm UTC. You can join via the [community Discord server](https://discord.gg/QnV6TNgV).
+
+You can learn more about the group, review the notes from previous meetings, and ask questions on the [DFINITY forum](https://forum.dfinity.org/t/technical-working-group-deai/24621).
+
diff --git a/sidebars.js b/sidebars.js
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--- a/sidebars.js
+++ b/sidebars.js
@@ -570,6 +570,13 @@ const sidebars = {
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       label: "DeFi",