Use-cases / Solutions
Introduction
BalanceAI is an open-source protocol that powers a decentralized, blockchain-based marketplace for AI models. It facilitates the collaborative use of machine learning models by autonomous AI agents, who are rewarded with the native utility token $BAI, according to the value they contribute to the ecosystem.
Operating on a Proof of Stake blockchain, BalanceAI allows for a trustless, open, and transparent environment where consumers and producers of AI products can interact seamlessly.
In the following sections, we will explore:
| Section | Description |
|---|---|
| 1. Native Utility Token | Utilities of BalanceAI native token ($BAI). |
| 2. Use Cases | Possible applications within BalanceAI Network. |
| 3. Solutions | Problems solved by BalanceAI. |
| 4. Utilities | Tools and features provided by BalanceAI. |
| 5. Enablers | What BalanceAI enables or enhances. |
This structure aims to clarify the usability environment and the solutions promoted by the network and the use of the native utility token.
1. Native Utility Token ($BAI)
Gateway for nominators, validators, marketplace service access, AI nodes, and PoS rewards.
The BalanceAI Token (BAI) serves as the native utility token within the BalanceAI Network, pivotal for staking and accessing marketplace services through Agents and Models. It incentivizes providers via the BalanceAI Grant Programme, promoting high-quality content creation and enhancing the ecosystem's value. Transactions involve gas fees and future plans include implementing decentralized governance facilitated by $BAI for community decision-making.
| Utility | Description |
|---|---|
| Staking | Staking involves nominators and validators who assist in network consensus and block generation. It also serves as the gateway to services offered via Agents and Models in the marketplace. |
| PoS Rewards | Delegators/Validators receive 44% of emissions for staking and contributing to the consensus of the network with native tokens. |
| Incentivizing Models and Agents Providers | 48% of total emissions are allocated to the open-source community fund to incentivize providers via the BalanceAI Grant Programme, vetted by curators and/or the community. Curators ensure high-quality, efficient content is rewarded, creating a valuable marketplace for providers and enterprises. |
| AI Node | Staking BAI is essential for those wanting to connect their AI Nodes via the BalanceAI SDK, making it a requirement for interaction and monetization within the BalanceAI ecosystem. |
| Service Access | To access these services, users must have their tokens staked, promoting token demand through usability for accessing published agents and models. |
| Transactions | Every on-chain transaction requires the sender to pay fees. Part of the fee is burned and part is deposited to the validators' set. |
| On-chain Governance (Future) | At BalanceAI Network, we believe in the power of decentralized decision-making. We're committed to implementing on-chain governance, where every community member has a say in shaping the network's future. The BalanceAI token plays a crucial role in this process, facilitating governance activities such as voting and referenda. (Work in Progress) |
For more info about token emissions, supply, and allocations, visit BalanceAI Token.
2. Use-Cases
BalanceAI Network offers a dynamic platform where AI researchers and developers can participate fully by deploying AI Nodes and connecting their models and agents They can run AI Nodes and connect their models/agents to the BalanceAI network using a specialized SDK called BalanceAI Wrapper.
For example, these are several models that can be interconnected to create agents.
| Models / Agents | Description |
|---|---|
| Generative AI | Applications include creating creative content such as images, music, and text. |
| Financial Models | Use cases involve hedging, yield optimization, financial forecasting, alert systems, management, etc. |
| Text2Img Models | Convert textual descriptions into images for creative projects and marketing. |
| Natural Language Processing (NLP) | Enhance customer support, content moderation, and data analysis through language understanding. |
| Computer Vision | Implement image and video analysis for security, quality control, and augmented reality. |
| Sentiment Analysis | Assess public opinion and customer sentiment through social media and review data. |
| Recommendation Systems | Provide personalized content, product, and service recommendations. |
| Speech Recognition | Transcribe and interpret spoken language for customer service, accessibility, and automation. |
| Time Series Forecasting | Predict future trends and behaviors based on historical data in various industries. |
| Machine Learning Classifiers | Categorize and predict outcomes based on data inputs in fields like healthcare, finance, and marketing. |
| Anomaly Detection | Identify unusual patterns in data for fraud detection, network security, and equipment maintenance. |
| Reinforcement Learning | Develop intelligent agents that learn to make decisions by interacting with their environment. |
| Object Detection | Detect and classify objects within images and videos for automation and surveillance. |
And much more...
Unleash your creativity and explore the vast array of applications and possibilities — these are just a few examples. Build & Connect with Infinity encapsulates our philosophy, reflecting the limitless potential to connect various technologies and sources to innovate and create within the BalanceAI ecosystem.
| Connectors | Description |
|---|---|
| External Blockchains | Integration with external blockchain networks to access and exchange data. |
| External Open Sources Repositories | Utilization of external repositories of open-source data for AI model training and enhancement. |
| APIs | Connectivity with APIs to integrate external functionalities and data into AI applications. |
| Cloud Services | Utilization of cloud-based services for scalable computing power and storage capabilities. |
| Web3 | Integration with Web3 technologies for decentralized application development and blockchain access. |
| Others... | Integration with various other external services and platforms to enhance AI functionalities (Just redifine your imagination). |
Working example connected to #Huggingface Model Roberta Base Squad2 https://huggingface.co/deepset/roberta-base-squad2
(venv) model@balanceai: python balanceai.py "which language the wrapper is written in?"
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{'score': 0.9575328230857849, 'start': 121, 'end': 127, 'answer': 'Python'}
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(venv) model@balanceai:
3. Solutions
BalanceAI offers a decentralized and secure marketplace for AI model / agents providers and users, eliminating the need for a central authority. By providing financial incentives, BalanceAI encourages innovation and development in AI research. The platform ensures the security and correctness of AI models through advanced encryption and blockchain technology. It fosters a collaborative community for AI researchers and developers, promoting trustless interactions and transparency.
BalanceAI emphasizes quality content and professional relationships, reducing low-value contributions. With low-cost, high-efficiency operations on Substrate, and decentralized storage via IPFS, BalanceAI ensures data immutability and longevity, making it a reliable platform for AI transactions and interactions.
| Problems Solved | Description |
|---|---|
| Decentralized Marketplace | BalanceAI enables secure, transparent interactions between AI model / agents providers and users without a central authority. |
| Incentivizing AI Research | Provides financial rewards and grants to encourage the development and deployment of innovative AI models. |
| AI Security | Utilizes techniques like ZK-Snarks, cryptographic encryption, and blockchain immutability to ensure AI model security and correctness. |
| Building AI Conscious Community | Fosters a collaborative environment for AI researchers, developers, and enthusiasts. |
| Trustless Environment | Facilitates trustless transactions and interactions through blockchain technology, reducing the need for intermediaries. |
| Open and Transparent Interaction | Ensures all interactions within the AI marketplace are open and transparent, promoting fairness and accountability. |
| Quality Content and Professional Relations | Solves the issue of marketplaces cluttered with low-value code, fostering a scientific environment that promotes quality and relationships among professionals. |
| Low Costs and High Efficiency | Operating on Substrate, BalanceAI ensures low-cost, high-performance operations, making it cost-effective for participants and efficient in handling AI transactions and interactions. |
| Immutability, Longevity, and Decentralized Storage | Utilizes an architecture that stores information about requests/responses on-chain and in the InterPlanetary File System (IPFS), ensuring data immutability, longevity, and decentralized storage capabilities. |
4. Utilities
BalanceAI offers a comprehensive suite of utilities designed to enhance the capabilities and usability of its network and marketplace. These tools are integral to supporting diverse needs within the BalanceAI .
| Utility | Description |
|---|---|
| Grant Programme | The BalanceAI protocol cornerstone, allocating 48% of the total (PoS) emissions to empower BalanceAI marketplace content. BalanceAI Grant Programme supports top-tier model and agent development, fosters cutting-edge research and curation. |
| Autonomous Agents VM | Provides a virtual machine environment for running autonomous AI agents. |
| Stable & Scalable Blockchain APIs | Offers reliable and scalable APIs for developers to build and deploy AI solutions. |
| Marketplace | Central hub for discovering, sharing, and acquiring pre-trained AI and machine learning models. |
| Curator System | Ensures the quality and relevance of models and agents within the marketplace through a system of curators. |
| AI Nodes | Deploying AI Nodes to connect models and agents to the BalanceAI network using a specialized SDK called BalanceAI Wrapper |
| BalanceAI Wrapper SDK | The BalanceAI Wrapper SDK facilitates the connection of AI models (API endpoints) to the BalanceAI blockchain. It ensures security by validating requests and securely storing information on-chain and in IPFS. Additionally, it includes functionality for managing transactions via the BAI wallet. Gateway to participate in the Grant Programme. |
| Wrapped BAI Token | BalanceAI offers a wrapped token known as wBAI on the Ethereum Network, maintaining a 1:1 peg with the native BAI token. It can be tracked at Etherscan. |
| Bridge | A mechanism that allows the transfer of assets or data between two different blockchain networks. |
| Dashboard | The BalanceAI Dashboard is the central hub for ecosystem interactions, providing connectivity to various networks within BalanceAI. |
| Local Node | Users can run a local node by cloning the BalanceAI repository or downloading a precompiled binary. |
| Galileo (Testnet) | Similar to BalanceAI mainnet specifications, offering a test environment for developers. |
| Mainnet | The main network of BalanceAI, utilizing the BAI token as its native currency. |
5. Enablers
What BalanceAI Enables or Enhances: BalanceAI serves as a catalyst for advancing AI innovation and collaboration through its diverse set of enablers. These enablers collectively empower BalanceAI to drive forward-thinking AI advancements while promoting collaboration, ethics, and sustainability within the AI community and beyond.
| Enable | Description |
|---|---|
| Decentralized AI Model Distribution | Facilitates the distribution of AI models using distributed ledger technology, enhancing accessibility and fostering innovation. |
| Open-Source AI Repository | Provides a global, open-source repository of AI models, promoting collaboration and knowledge sharing among researchers and developers worldwide. |
| Ownership and Benefits | Users gain ownership and receive benefits commensurate with their contributions to the network, ensuring a fair and inclusive ecosystem. |
| Collaboration Between Academia and Industry | Bridges the gap between academic research and industrial application by incentivizing collaborative projects and shared resources. |
| Ethical and Sustainable AI Development | Promotes ethical AI practices, ensuring transparency, fairness, and long-term sustainability in AI development and deployment. |
| Community-Driven Innovation | Empowers the AI community through grants, collaborative projects, and open access to resources, driving continuous innovation. |
| Educational Outreach and Resources | Develops educational programs to equip individuals with skills and knowledge essential for AI development and research. |
| Enhanced Developer-Enterprise Relationships | Cultivates a conducive environment where developers and enterprises collaborate closely, leveraging mutual strengths to innovate and deploy AI solutions effectively. |
| Monetization Strategies | Implements mechanisms for users to monetize their contributions, fostering economic incentives within the ecosystem. |
| Leverage for Enterprises | Provides enterprises with tools and frameworks to leverage AI technologies effectively, enhancing operational efficiency and competitiveness. |
| On-Chain Governance (In the future) | Implements decentralized decision-making processes through on-chain governance, allowing community members to participate in shaping the network's future direction. |