Theet Network and Aws Transform ACADIMIC AI with the adoption of Yonsei University from Edgecl star-news.press/wp

Theta Network and AWS recently joined the launch of Amazon Ai Chips Treerium & Independia on the Edgecloud platform. We are proud of the participation that one of the most prestigious institutions in Korea, a data and language laboratory at Yonsei University, led by Professor Dongha Lee, will use the TETA-AWS infrastructure for the main AI agent project.

This represents an important milestone Theta Network He welcomes the University of Yonsii as a user at the Foundation level for the institutions that are powered, which reflects our commitment to providing various resources of GPU and chip resources of upcoming artificial intelligence to meet customer needs. This follows the AWS approval of the TETA EDGECLOUD HYBRID as the first decentralized AI AI platform for the developed silicone AI.

Theet is the first Blockchain network to spread the slices of the next generation of Amazon and offer unparalleled performance for AI, video and media work burden.

The University

Data & Language Intelligence Lab from Yonsei University joined as one of the first adopters of Theet Edgecloud almost a year ago, shortly after the launch of our platform, and continued to take advantage of the high -performance decentralized infrastructure of advanced edge.

“The Teta Edgecloud has been an integral part of our research infrastructure over the past year. It has been great to cooperate closely with Theeta and AWS in the past few months, and with the addition of AWS training, we can now cure our experiences faster and more efficient, and thanks to the increase in coordination. Professor Donaga Lee said.

Over the past year, under the leadership of Professor Lee, the laboratory has achieved remarkable recognition in the global artificial intelligence community, and strengthens it more through its wide use of the hybrid Edgeliwood to power and expand their research. Their achievements include:

• Certificate of Excellence in the review from the prestigious KDD conference.
• The Excellence Paper Award at the ACL 2024 for “Can the Big Language Model be a good emotional support? Reducing the preference for emotional support conversation.”
• More than ten acceptable sheets in prestigious conferences including EMNLP 2024, Neups 2024, NAACL 2025, ICLR 2025, Sigir 2025, ACL 2025, COLM 2025, and more.
  

These landmarks reflect the deep experience of the laboratory in the treatment of natural language, large language models, and the human international -focused Amnesty, and we are honored to surpass the next stage of research on Theet Edgecloud Hybrid with AWS.

Yonsei Search with Aws Trainaium and Edgecloud Hybrid

Using TRN1 TRN1 AWS counterparts, it is designed for this purpose of high -performance deep -cost training, Yonsei It will be a pioneer in a repetitive and repetitive framework for training and evaluation of conversation recommendations (CR).

Instead of relying on costly and inconsistent human assessments, the laboratory will use highly simulator users of memory, character characteristics and advanced preferences, as well as multi -dimensional evaluation forms that measure cohesion, information, and personality consent in real time.

The system will improve Chatbot models through Improving direct preference (DPO)Using marital preference signals from simulation conversations without having to put manual marks.

This fully frames on the Teta Edgecloud Hybrid, which fully works on the TETA EDGECLOUD HYBRID, and it can mimic millions of realistic user interactions daily, evaluate and improve models immediately within an improved loop, and ensure inevitable and reproductive training on a wide scale.

This is largely accelerating R&D AI courses in academic circles. In addition to recommending systems, it can be extended to support customer service robots, taskmarks, lessons systems, and other artificial intelligence agents directed towards targets, which inflames its capabilities through industries.

Why do it matter

This cooperation is important because it combines three first of the industry:

1. The first decentralized platform approved by AWS To merge the specially dedicated Silicone AI exercises and Inforentia.
2. The first Blockchain network To spread artificial intelligence slices of the next generation of Amazon to work burdens in the real world.
3. The first agent in the institution To adopt the TETA EDGECLOUD HYBRID, which is powered by advanced artificial intelligence research.

By bringing the AWS TREIUM high-performance and effective capabilities with the world distributed globally to more than 30,000 NVIDIA graphics processing units, researchers are now gaining unprecedented flexibility to choose the appropriate account for appropriate work-whether training in the extended billionaire language models, or they manage a great benefit from quality.

“Yonsii University’s AWS University’s dependence on Edgecloud Hybrid is an ideal example of how decentralized infrastructure and advanced AI infrastructure, and we are fine to accelerate global research. You can take advantage of decentralized cloud technology to lead the next wave of innovation of artificial intelligence.” Mich Leo, co -founder and president said. The TETA LABS CEO.

This is not only limited to AI training faster; It comes to changing the economy and easy access to artificial intelligence research. Institutions such as Yonsii can now train complex models and improve them on a small part of the cost, with cloning and size that cannot match traditional cloud solutions or local solutions.