Inferium is an advanced ML-driven intelligent store and aggregator for AI inference, addressing the complexities of AI model selection, enhancing privacy, and bridging the communication gap between end-users and developers.

Problem Statement

Complexity in AI model selection

Due to the abundance of available models and their varying performance indicators, selecting the appropriate AI model for a specific task can be challenging. Developers often struggle to discover the most suitable model for their needs, leading to inefficiencies and suboptimal outcomes, even without extensive trial and error. Consider a scenario in which a developer needs to choose an artificial intelligence model specifically designed for the purpose of picture recognition. Convolutional Neural Networks (CNNs), ResNet, Inception, and other models with varying strengths and weaknesses are readily accessible on the market. Comparing these models to one other requires a significant amount of time and computational resources, which can result in project delays and increased costs. Inferium simplifies this method by consolidating many AI models and providing transparent performance evaluations. Our platform enables developers to efficiently evaluate models by utilizing standardized metrics and real-world performance data, allowing them to make prompt and informed decisions.

Lack of Communication

There is a substantial disparity in communication between end-users and developers in the field of artificial intelligence. End-users frequently lack the technical proficiency to comprehend the capabilities and constraints of different AI models, while developers may not completely comprehend the precise requirements and expectations of the end-users. This disconnection might result in misaligned objectives, where the implemented AI models fail to sufficiently meet the practical needs of the users. For instance, inside a healthcare environment, medical practitioners may require an artificial intelligence model for the purpose of diagnosis. Insufficient comprehension of the medical context and user requirements by developers can lead to inaccurate or irrelevant outcomes from the model. This not only erodes confidence in AI solutions but also impedes their acceptance in crucial domains. Inferium resolves this problem by offering a platform that facilitates more efficient interaction between developers and end-users. By utilizing comprehensive performance indicators, integrating user feedback, and implementing an efficient deployment procedure, our platform guarantees that the AI models fulfill both technical and practical requirements.

Privacy and Compliance

Preserving data privacy and adhering to compliance regulations during AI inference jobs is a significant obstacle, particularly in industries that handle sensitive information like healthcare, banking, and personal data. Conventional AI inference procedures typically necessitate the transmission of data to external servers, which raises issues over potential data breaches and unauthorized access. Furthermore, data handling and processing in AI systems must strictly comply with regulatory regulations such as GDPR, HIPAA, and CCPA, which impose rigorous limits. Noncompliance can lead to significant sanctions and the erosion of user confidence. Inferium improves privacy protection by incorporating homomorphic encryption algorithms. This enables users to execute AI models on their confidential data while safeguarding it from any security breaches. Our platform guarantees compliance with regulatory norms, creating a secure environment for AI inference and promoting trust and reliability.

Awareness of New Models

The swift progression of novel AI models is a challenge for developers and end-users alike to remain abreast of the most recent advancements. Keeping abreast of the latest advancements in new models can be overwhelming, since they often come with enhanced performance, efficiency, and capabilities. For example, a developer involved in a natural language processing (NLP) project may encounter challenges in keeping up with the newest advancements in models such as BERT, GPT-3, or T5, each of which provides unique benefits. Failure to keep up with these improvements might result in the utilization of obsolete models, resulting in below-average performance. Inferium guarantees that consumers remain constantly informed about the most up-to-date AI models and their functionalities. Through regular updates to our platform and the provision of thorough performance comparisons, we empower users to utilize state-of-the-art technology in their projects.

Solution

Data Layers

Inferium integrates datasets from various markets to facilitate AI Inferium. By partnering with Rivalz Network AI, Inferium utilizes the power of data processing and augmentation, enabling the trusted data source for Inference.

Inferium is also building its own data marketplace for users to freely provide their dataset and projects can load a dataset in a single line of code, using our own powerful data processing methods with Apache Arrow Format.

Computing Layers

Inferium offers a secure production solution to deploy any models from the store on dedicated and autoscaling infrastructure. By partnering with Aethir Cloud and io.net, Inferium gives users a wide range of selection on deploying models for Space.

ML-Driven Inference Store

Inferium provides a full infrastructure for developers to verify, deploy, validate and run inference on their own model. Users can easily access, test model and provide feedback.

Through learning process, Inferium allows user to easily identify the most effective model for their specific needs, streamlining the model selection process.

To ensure the smooth liquidity and adoption of UNX, Unchain X has implemented a special launchpad system where rewards in UNX are naturally liquefied for participants in the initial launchpad. This system is designed to facilitate the establishment of UNX within Unchain X

UNX Launchpad Rounds

Users can participate in the launchpad over 5 rounds, each lasting for 13/10/10/10/10 days

During each round, participant assets are locked, and upon the completion of each round, deposited assets are returned. Users can participate in multiple rounds.

Through the Starter Option, users can set the return rate, allowing them to mine more UNX. A lower return rate setting results in a lower return rate on deposited assets and more UNX being mined.

The return rate follows the following guidelines.

*In the return rate option, a geometric progression formula is applied, where a default mining bonus rate of 5% + 0.3% is added each time the next 1% return rate is set.

Hybrid Introduction

Hybrid is an EVM-compatible Layer 2 blockchain that integrates a Mixture of Experts (MoE) framework, enabling the easy creation and monetization of AI agents in a plug-and-play approach. This innovative platform is designed to improve the integrity and usability of data within blockchain applications, supporting the development and deployment of AI-driven solutions across various industries.

https://coinlist.co/uji-hybrid

Testnet guide

Setting Up MetaMask for Hybrid Testnet

Method 1: One-Click Addition (Recommended)

1. Visit the Hybrid Faucet page.

2. Click "Connect Wallet" in the top right corner.

3. Approve the network addition and connection request in MetaMask.

Claiming Test Tokens (HYB)

1. Visit the Hybrid Faucet page.

2. Enter your wallet address in the designated field.

3. Press the “Send Tokens” button.

4. Note: The faucet is limited to 10 HYB tokens per day.

Using Atlas - Web3 Copilot

Introduction to Atlas

Atlas is an advanced AI agent within the Hybrid ecosystem, designed to simplify interactions with blockchain data. It provides valuable insights and facilitates efficient navigation and utilization of the Hybrid network, making blockchain technology accessible and user-friendly.

Sign In

1. Go to the Sign Up page.

2. Enter your email address and create a strong password.

3. Click "Sign Up" and verify your email via the confirmation link.

Using Atlas

Connect Your Wallet:

• Click the "Connect Wallet" button at the top right of the page. Follow the instructions to connect your wallet to the platform:

Option A: Connect your preferred or installed wallet (e.g., MetaMask).

Option B: Use email to utilize the Hybrid account abstraction wallet managed by your web2 platform.

Notes:

• You can switch or disconnect wallets by clicking on your current connected wallet.

• Connect a Hybrid wallet for account abstraction -> no need to manually sign each transaction in Atlas.

• For users who already have Hybrid Points connected to a Metamask (or other) wallet, you will have to first connect your Metamask and then click 'Connect Hybrid Wallet' and points earned from within your Hybrid wallet will be added up to your Metamask (or other) wallet.

Actual Atlas Usage

1. Check HYB Balance: Atlas displays your current HYB balance and usable HYB for AI interactions.

2. Start a New Chat: Click "New Chat" to begin a conversation with an AI agent.

3. Ask Your Question: Type your question in the "Ask a question here..." field and click "Send for 1 credit" to confirm + confirm the transaction in your wallet (if you are not using Hybrid wallet).

4. Receive Your Answer: The AI agent will process your question and respond in the chat interface.

5. Manage Chats: Access past conversations through chat history, delete or rename chats as needed.

Using the Hybrid Blockchain Explorer

1. Visit the Hybrid Blockchain Explorer.

2. Enter a wallet address or transaction hash in the search bar.

3. The explorer will display details about the address or transaction you searched for.

Transferring Tokens on Hybrid Chain

1. Ensure you have enough HYB tokens in your MetaMask wallet.

2. Switch to the Hybrid Testnet network in your wallet.

3. Specify the recipient and amount.

4. Set the gas fee (if applicable).

5. Confirm the transaction in your wallet.

We are super excited to announce that Hybrid's Public Testnet has launched on https://app.buildonhybrid.com This release allows users to explore various features and provide feedback crucial for the platform's development.
#HybridAirdrop #HybridTestnet

https://coinlist.co/uji-hybrid