Why Web3 Needs Domain-Specific AI Models Over Generic AI Models
In the realm of Artificial Intelligence (AI), there’s a plethora of general AI models, with Language Models (LLMs) being particularly prominent. These models, although proficient in a wide range of tasks, often lack the specialised insight required to navigate the nuanced landscapes of specific domains. This article explores the need for domain-specific AI models in Web3, featuring FLock Researcher by FLock.io as a pioneering solution.
🧑💻 Definition of Domain-Specific AI Models:
Domain-specific AI models are tailored to excel in a particular domain or field, possessing specialised knowledge and capabilities pertinent to that area. Unlike generic AI models that have a broad but shallow understanding across various domains, domain-specific models have a deep understanding of their specialised domain, enabling them to provide more accurate and insightful solutions.
👾Why Generic AI Models Fall Short in Meeting Web3 Demands
Specialised Knowledge: Generic AI models fall short in grasping the intricacies of Web3. Domain-specific LLMs, with confidential data access, deliver precise solutions tailored to Web3’s unique challenges.
Data privacy and ownership: The importance of data privacy is underscored by recent incidents. Samsung, for example, banned the use of generative AI tools like ChatGPT after an internal data leak exposed sensitive information. Another case involved Stable Diffusion and Getty Images, where a dispute arose over the copyright of AI-generated art, raising questions about data ownership and rights in the AI era. Domain-specific AI models, designed with robust security protocols, are essential. In decentralised training and inference, users have the option to keep their data private by training/running the models locally while still exchanging model updates with other nodes.
Evolving Web3.0 Ecosystem: The dynamic and evolving Web3 ecosystem demands adaptable AI models, inherent in domain-specific ones. Decentralised LLM providers specialised in specific tasks align with Web3’s evolving nature, promoting competition and innovation. Web3 users contributing data, models, and resources receive fair rewards, fostering community-driven development recorded on the blockchain.
🤖️ Introduction to FLock Researcher and its Advantages in the Web3 Domain
FLock Researcher, a decentralised network of domain-specific agents underpinned by Federated Learning (FL) and blockchain, integrates domain-specific AI models into Web3 with robust data security, fosters research collaboration, and employs transparent blockchain records to build trust. Discover more in our Medium article, “Introducing FLock Researcher: A Multi-Agent Framework for Web3 Tasks.”
👬What Users Say about the Current Version of FLock Researcher:
Since the Beta launch of FLock Researcher, we have extended an invitation to the community to explore its features and share their experiences. We are grateful for the insightful feedback from our FLockies!
Here are some real testimonials shared on social media:
- @IamFantasy__
“…Browsing history. Flock researcher doesn’t. It doesn’t need your cookies to help you find the answers you need. Benefits: — Offers On-chain decentralized machine learning — Secured data — Rewards for collaboration Unlike ChatGPT.”
- @Blondie_Kwin
“I noticed while using @flock_io researcher, it shows the source while Chatgpt doesn’t. Answers are more precise in Flock research.”
- @visionary_joe
“Flock Researcher AI emerges as the better option for users looking for a comprehensive social media management platforms and more, for they provide guides and source of their information unlike ChatGPT AI which does not.”
- @_Bennyscape
“…superiority in research and content curation is due to its specialization, precision, and focused knowledge access. It is an invaluable companion for all, offering a level of expertise that is second to none in the ever-evolving AI landscape.”
“Chatgpt here described what onchain analysis is and gave the “key points” about onchain analysis which as a user that doesn’t know anything about onchain analysis and is eager to know more wouldn’t be much satisfied and want to know more about onchain analysis. @flock_io on the other hand is unique in its own aspect, would ask you what kind of report you want to generate… In this (Resource report) aspect, i used the resource report to bring out my answers and the system sensed out that i needed to know about the information concerning the availability, usage of onchain analysis and gave me what i wanted…”
We would love to invite you to try FLock Researcher and provide us with your honest feedback here — http://researcher.flock.io:8080/
About FLock.io
FLock.io is a decentralized and permissionless platform for co-owned AI models and Dapps. By harnessing the synergies of Federated Learning and blockchain technologies, we address the growing demands of models and potential data breach threats, guaranteeing secure model training without revealing underlying source data, and fair rewards to data contribution and community collaboration.
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