From abc7a91a87a815e1361c0286fe46c9f140e895cf Mon Sep 17 00:00:00 2001 From: Mohsen Date: Thu, 30 Jan 2025 17:28:45 +0330 Subject: [PATCH] feat: update --- src/README.md | 43 - src/SUMMARY.md | 10 +- src/assets/protocol.svg | 1517 ++++++++++++++++++++++++++++++++ src/intro/federated-ai.md | 13 + src/intro/federated-bigdata.md | 10 + src/intro/protocol.md | 1 + src/intro/use-cases.md | 15 + src/intro/what-is-jungoai.md | 7 + 8 files changed, 1571 insertions(+), 45 deletions(-) delete mode 100644 src/README.md create mode 100644 src/assets/protocol.svg create mode 100644 src/intro/federated-ai.md create mode 100644 src/intro/federated-bigdata.md create mode 100644 src/intro/protocol.md create mode 100644 src/intro/use-cases.md create mode 100644 src/intro/what-is-jungoai.md diff --git a/src/README.md b/src/README.md deleted file mode 100644 index 6a7a6fd..0000000 --- a/src/README.md +++ /dev/null @@ -1,43 +0,0 @@ -# Introduction - -Blockchains, as the primary infrastructure for developing decentralized solutions, serve as excel- -lent trustless databases. However, they struggle to handle two critical aspects required by technolo- -gies like AI: Big Data and computation. The goal of JungoAI is to provide a collaborative solution -for Big Data and computation, leading to a more effective decentralized AI and data platform. - -## Federated AI - -Most AI algorithms are designed to be centralized. Data and computation need to be in a centralized -location, which means only large organizations with the resources to collect vast amounts of data -and sufficient computational power can develop these solutions. - -The major drawback of centralized AIs is the presence of a single authority, which can lead to -models trained on biased data, resulting in biased outcomes. Additionally, similar to the dominance -of search engines over the past decades, only a few entities can possess the technology and reap -the benefits. Platforms like [Bittensor](https://bittensor.com) attempt to leverage blockchain technology to incentivize -experts, entities, and node operators to participate in developing AI solutions. However, these -platforms function more like marketplaces and competitive AI solutions. At JungoAI, our goal is to -build a Federated AI solution where network nodes collaborate to provide data and computation. - -## Federated Big Data - -Federated Big Data is an innovative approach to managing and analyzing large datasets across -multiple decentralized locations. Unlike traditional centralized systems, where data is collected and -processed in a single location, federated big data leverages the power of distributed networks to -enhance privacy, scalability, and collaboration. - -JungoAI’s goal is to provide a protocol that enables public nodes to participate in delivering -big data solutions for various real-world applications, including indexing and analyzing blockchains, -collecting and analyzing web data, and more. - -## Problem - -
- figure problem -
- -## Solution - -
- figure solution -
diff --git a/src/SUMMARY.md b/src/SUMMARY.md index 4235aea..72511c3 100644 --- a/src/SUMMARY.md +++ b/src/SUMMARY.md @@ -1,4 +1,11 @@ -[Introduction](README.md) +# Introduction + +- [What is JungoAI](intro/what-is-jungoai.md) + - [Federated AI](intro/federated-ai.md) + - [Federated Big Data](intro/federated-bigdata.md) + - [Protocol](intro/protocol.md) +- [Jungo DAO]() +- [Use Cases](intro/use-cases.md) # General Guide @@ -16,7 +23,6 @@ - [Run Monitor node](builders/run-monitor.md) - [Create a Subnet](builders/create-a-subnet.md) - [Run Jungochain RPC node](builders/run-jungochain-rpc-node.md) -- [Use Subnet services as a user]() # Tools diff --git a/src/assets/protocol.svg b/src/assets/protocol.svg new file mode 100644 index 0000000..6123492 --- /dev/null +++ b/src/assets/protocol.svg @@ -0,0 +1,1517 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Jungochain RPC + + + + BLOCKCHAIN LAYER + + + Jungochainnode + + + + Jungochainnode + + ... + + + + + + Subnet X + + + + API + + + ... + + + + Subnet Y + + + + API + + + + + APPS LAYER + + + + + + + Subnet Z + + + + API + + + ... + + + + Subnet K + + + + API + + + + APPS BASE LAYER + + + + + + + + + + + + End User + + + + + + ... + + + End User + + diff --git a/src/intro/federated-ai.md b/src/intro/federated-ai.md new file mode 100644 index 0000000..48f378a --- /dev/null +++ b/src/intro/federated-ai.md @@ -0,0 +1,13 @@ +# Federated AI + +Most AI algorithms are designed to be centralized. Data and computation need to be in a centralized +location, which means only large organizations with the resources to collect vast amounts of data +and sufficient computational power can develop these solutions. + +The major drawback of centralized AIs is the presence of a single authority, which can lead to +models trained on biased data, resulting in biased outcomes. Additionally, similar to the dominance +of search engines over the past decades, only a few entities can possess the technology and reap +the benefits. Platforms like [Bittensor](https://bittensor.com) attempt to leverage blockchain technology to incentivize +experts, entities, and node operators to participate in developing AI solutions. However, these +platforms function more like marketplaces and competitive AI solutions. At JungoAI, our goal is to +build a Federated AI solution where network nodes collaborate to provide data and computation. diff --git a/src/intro/federated-bigdata.md b/src/intro/federated-bigdata.md new file mode 100644 index 0000000..2b11023 --- /dev/null +++ b/src/intro/federated-bigdata.md @@ -0,0 +1,10 @@ +# Federated Big Data + +Federated Big Data is an innovative approach to managing and analyzing large datasets across +multiple decentralized locations. Unlike traditional centralized systems, where data is collected and +processed in a single location, federated big data leverages the power of distributed networks to +enhance privacy, scalability, and collaboration. + +JungoAI’s goal is to provide a protocol that enables public nodes to participate in delivering +big data solutions for various real-world applications, including indexing and analyzing blockchains, +collecting and analyzing web data, and more. diff --git a/src/intro/protocol.md b/src/intro/protocol.md new file mode 100644 index 0000000..fbd34d1 --- /dev/null +++ b/src/intro/protocol.md @@ -0,0 +1 @@ +# Protocol diff --git a/src/intro/use-cases.md b/src/intro/use-cases.md new file mode 100644 index 0000000..7b46ca3 --- /dev/null +++ b/src/intro/use-cases.md @@ -0,0 +1,15 @@ +# Use Cases + +- **AI & Big Data Layer for Blockchains:** + - RPC Providers + - Indexing Protocols + - Lambda and Serverless Services + - AI x Crypto Integration +- **Federated & Collaborative AI:** +- **Federated Big Data:** + - Big Data Layer for Web + - Federated Business Intelligence + - Trustless Big Data +- **Personalized & User-Owned AI & Data:** + - Digital Twins + - User-Owned Data Wallets diff --git a/src/intro/what-is-jungoai.md b/src/intro/what-is-jungoai.md new file mode 100644 index 0000000..87cd6fc --- /dev/null +++ b/src/intro/what-is-jungoai.md @@ -0,0 +1,7 @@ +# What is JungoAI + + +JungoAI is a public **Federated AI** and **Big Data** network +where nodes and users collaborate to provide innovative +AI and Big Data solutions. Our vision is to build a **global +Big Data and AI layer for the internet**.