TL;DR:
- Hyper Oracle introduces opML, a groundbreaking approach to machine learning on Ethereum.
- opML enhances the performance and flexibility of ML models on the Ethereum blockchain.
- Bringing AI and ML onchain promises to make smart contracts smarter and more versatile.
- opML outshines zkML by offering cost-effectiveness and efficiency in running large ML models.
- Hyper Oracle’s opML framework supports both inference and the fine-tuning/training process.
Main AI News:
Hyper Oracle, a trailblazing leader in blockchain technology, has unleashed a game-changing innovation known as Optimistic Machine Learning (opML). This remarkable advancement represents the first open-source implementation of its kind and promises to revolutionize the world of machine learning (ML) on the Ethereum blockchain. In this exclusive feature, we delve into the transformative potential of opML and its pivotal role in reshaping the future of AI and ML.
Bringing Artificial Intelligence Onchain
In today’s era, we find ourselves amidst a whirlwind of breakthroughs in artificial intelligence (AI) and machine learning (ML). By bringing these cutting-edge technologies onchain, Hyper Oracle is set to empower smart contracts with unprecedented intelligence, unlocking a realm of use cases previously deemed unattainable. Simultaneously, opML ensures that ML benefits from the virtues of fairness, transparency, decentralization, and other hallmarks of onchain validation.
Overcoming Critical Challenges
Current implementations grapple with the daunting task of validating computation while tackling crucial issues of cost, security, and performance. It is here that opML and zkML emerge as frontrunners in the quest to verifiably prove the model used to generate specific outputs.
While zkML relies on zero-knowledge proofs to verify ML models, leveraging the formidable realms of mathematics and cryptography for unparalleled security, it faces inherent limitations. These limitations encompass constraints in memory usage, quantization, circuit size, and more, confining its usability to small-scale models. For onchain ML and AI computing to realize their full potential, a more practical solution is required, one capable of accommodating large ML models such as GPT 3.5.
opML: A Game-Changer in ML
Enter opML, a revolutionary approach that introduces AI model inference through an optimistic verification mechanism. This innovative methodology bestows upon opML the capability to offer unparalleled performance and flexibility, far surpassing the constraints of zkML. With opML, the Ethereum mainnet becomes a playground for a myriad of ML models, including the most extensive and complex ones.
One of the standout advantages of opML lies in its cost-effectiveness and efficiency. Unlike its counterparts, opML does not demand extravagant resources for proof generation; it can seamlessly execute a large language model (LLM) on a standard laptop, eliminating the need for specialized GPU setups.
The Promise of onchain AI and ML
In essence, opML embodies the promise of onchain AI and ML. It seamlessly combines efficiency, scalability, and decentralization while upholding the highest standards of transparency and security. Hyper Oracle, with its unwavering commitment to advancing the field, aims not only to facilitate secure and efficient model computations but also to support the fine-tuning and training processes, making opML a versatile solution for a myriad of ML tasks.
Conclusion:
Hyper Oracle’s opML represents a groundbreaking development in the blockchain and machine learning space. With its enhanced performance, cost-effectiveness, and support for large models, opML is poised to unlock new possibilities for onchain AI and ML applications. This innovation has the potential to drive significant growth and adoption in the market, offering businesses unprecedented opportunities for intelligent and efficient contract execution on the Ethereum blockchain.
