Theta Labs has partnered with the artificial intelligence ( #AI ) platform FedML. Here are some key details about the partnership: 🔽🧵
#THETA $THETA @Jimakos13 @Thetarian11 @THETA_ECOSYSTEM @ThetaLeviathan @FedML_AI @Theta_Network @ThetaProfessor @Theta_Ghost
1⃣ What is the Partnership about?
Theta Labs has joined forces with FedML, an artificial intelligence platform, to facilitate collaborative machine learning. The partnership aims to focus on improving content recommendation and generative AI through joint efforts.
The two companies have declared that they will collaborate to train large-scale generative AI models. The main objective of this partnership is to enable the Theta TV community to participate in the process by providing their individual preferences and computing resources.
By utilizing the power of FedML, the companies will train and deploy these AI models to enhance personalized recommendations and advertisements.
2⃣ Who is FedML?
FedML offers an innovative open-source community and enterprise platform that supports decentralized, collaborative AI at any scale.
With FedML's MLOps ecosystems in place, training deployment, monitoring and even ongoing improvements of machine learning models can all happen from virtually anywhere - cloud/edge - without compromising data privacy or security.
3⃣ How influential is FedML's open-source community?
FedML boasts an influential open-source community, as evidenced by its highly rated GitHub library for federated learning, and is currently utilized by over 1500 developers in 10+ enterprises across the globe.
It has become a major player in the world of machine learning, with users spanning across multiple industries and continents.
From tech giants like Google and Amazon to renowned universities such as Stanford, Princeton, USC and HKUST - industry leaders are tapping into the power of its powerful open source library for research pursuits or engineering needs.
4⃣ What AI Problem does FedML solve?
FedML helps to solve a common issue in AI technologies: how can machine learning be done without compromising the privacy of users?
By utilizing data from various nodes, FedML allows ML processors to take advantage of personal datasets while maintaining user protection. Furthermore, it reduces development costs and empowers data owners by providing them with opportunities for monetization.
5⃣ Team
FedML was founded by Salman Avestimehr and Chaoyang He. Salman Avestimehr is also a distinguished professor and director of the USC-Amazon Center for Secure and Trusted Machine Learning.
The other co-founder, Chaoyang He, is an accomplished tech industry professional with a proven track record working for leading companies such as Google, Facebook, and Amazon.
6⃣ Why did FedML partner with Theta?
Theta's Edge Network, a decentralized network of nodes around the world, is perfectly suited to distributed computing needed for collaborative machine learning and AI applications.
FedML co-founder Salman Avestimehr believes this partnership represents two parallel visions merging together in order to enable collaboration within Web3 space. He highlighted the potential of Ad recommendations and generative AI fueled by people's private data.
By contributing their personal information, individuals can capitalize on machine learning models that they all stand to benefit from. The partnership unlocks an unprecedented capacity for AI and machine learning development worldwide.
7⃣ Conclusion
The new partnership brings together powerful technologies to create exciting opportunities in web3. Through collaborative training, users will be able to utilize large-scale generative AI models for personalized content recommendation while maintaining data security
Collaborating with FedML, Theta Labs unlocks the potential of Edge Nodes for ML and AI development on a global scale. The collaboration will enable users to take advantage of distributed computing with powerful AI applications, powered by Theta Network's Edge Node solutions🔥🔥.
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