The 2024 AI Leaders Summit was hosted by Alibaba Cloud in Shenzhen on June 6, 2024. Dr. Liu Yi, fo♦under of Raisound and special expert of the National Key Research and Developmen→t Program, attended the summit. At the main forum, he discussed "How l↕arge models are reshaping intelligent terminal experiences" with many industry guests. He w♣as also invited to give a keynote speech titled "Large models& driving innovation in end applications" at a breakout session.

In his speech, Dr. Liu Yi noted that "Devices like computers, phones and watches have nΩow become people's closest information portals. The integration of large models and termi​nals has become a new demand and direction in the era of large models."

The 2024 Alibaba Cloud AI Leaders Summit in Shenzhen sparked great e≠nthusiasm for practical applications of large models. ÷Representatives from multiple companies shared best €practices in applying large models across various fields onsite. Many≥ AI pioneers and enterprise developers gathered to explore how to seamlessly use generativγe AI services on the cloud, develop a new generation of applicat★ions, and modernize existing ones.

Large models are accelerating the intelligent development← of end products

With the rapid development of technologies such as the Internet of Things,☆ 5G, and artificial intelligence, terminal intelligence ★is developing in the direction of multi-technology integration, among which large AI mod↓els have brought new opportunities for the development of terminal intelligencλe. End-side large language models, as the built-in core intelligence capabilities  of intelligent devices, can securely and instantly respond to user needs with pe₹rsonalized service capabilities. At the same time,£ large models in the cloud industry, thanks to their huge data pro‌cessing capabilities and algorithm optimization, play an irrepl≈aceable role in service integration across devices and scenarios. The fusion of edg✘e and cloud greatly improves service efficiency and user experience, creating the next-gene$ration natural user interface NUI for the future.

In his keynote speech, Dr. Liu Yi noted that Raisound integrated large models into← intelligent wearable and input device solutions. By cπombining speech recognition, speech generation technologies with large models, users₩ can leverage these smart devices "assistants" to accomplish cross-lingual barrier-free dialogue≤s, automatic medical record entry, and other tasks. Th₩e voice interaction latency has been shortened to 100 milliseconds. The introduction of large m​odels has effectively driven upgrades to core natural speech interaction technologies, bringing u↓sers an improved experience with faster-updating end products.

Cloud collaboration has enabled new intelligent experiences for terminal devices

The integration of large models and terminals has spawned a new application ecosystem☆. By combining the generalization capabilities of large models wπith the specific needs of terminal users, more personalized services can be provided to userβs.

During the roundtable discussion "Leaders Talk" session, the four heavyweigh×t guests engaged in an in-depth exploration of how large models can sh&ape new experiences for intelligent terminals. Dr. Liu Yi noted that "in cloud-cen♠tric scenarios, terminals will take on some AI workload from the cloud basαed on their own capabilities, where possible. A typical example is the upgrade of intelligent ve¶hicle cabins - we moved the voice capabilities from the cloud to the edge, and also deployed ap≠propriately sized large models to the edge. This allows most inte↕ractions to be handled locally on the terminal, with only unsupported requests going to the c✔loud, greatly improving interaction speeds and stability.

Dr. Liu Yi mentioned at the forum that based on Raisound's independently developed edg↕e intelligence technologies and Alibaba's powerful cloud computing capabilit♥ies, the two have jointly built an edge-cloud collabor®ative platform for terminal intelligence innovation. This platform i↑s designed to provide integrated hardware-software solutions, and they plan to develop a series∑ of edge intelligent products. Currently, Raisound has launched a portfolio of smart terminal pro♥ducts, including smart mice, AI headphones, smart voice watches, and more, a≤pplied in smart government, healthcare, and other scenari☆os to deliver unprecedented intelligent experiences for users.

The full-link architecture of cloud-edge integration has facilitated the pract¥ical application of industry solutions

The collaborative development of edge large models and cloud in∑dustry large models, especially technologies like AI chips, has rapidly advanceαd edge human-machine interaction technologies. Together they outline a vision for the future where© artificial intelligence becomes more widespread an•d the experience more human-centric. This also marks  the arrival of a new era for human-machine interaction.

As a domestic leader in intelligent voice interacti★on, Raisound will continue using artificial intellige§nce voice technology as its core and deeply integrating mul"ti-modal interaction at endpoints. It aims to provide integrated hardwa€re and software artificial intelligence products an£d solutions for customers, creating new paradigms for human-machine interaction in the₹ era of large models.

Dr. Liu Yi noted that Raisound has now built a "Cloud-Edge" full-link architecture to ₽realize integrated intelligent perception and cognition. This enhances user interaδction experience while protecting data privacy and security. Raisound will alsγo continue empowering terminal applications through art≤ificial intelligence to fuel renewal, focusing on high-quality development. Thi♦s will help accelerate the formation of new productivity and contribute ™to industry development and practical application.