With the advancement of AI technology, many challenges in learning scenarios have been efficiently resolved. On November 1st, Quark upgraded its "AI Search Questions" product, making the process of searching and solving questions faster and more capable.
Users can find various new and difficult questions through devices such as mobile phones, tablets, and computers. AI will also explain the questions step by step and support users to ask questions at any time. After launching the "One-Stop AI Service" and "System-Level Full-Scene AI Capabilities," Quark's AI capabilities have been implemented in learning scenarios, helping users enhance their learning abilities and efficiency.
Quark's "AI Search Questions" Innovation Upgrade, Making Learning Smarter
Today, mobile phones and computers have become learning tools. When users encounter difficult questions, they often rely on searching, taking photos, and other methods to find information online. However, due to the update speed of websites and the size of question banks, users cannot find questions or understand difficult ones, which has affected learning efficiency. Quark's AI capabilities are accelerating learning product innovation, bringing users a more efficient product experience.
Unlike similar products that rely entirely on question banks, Quark's "AI Search Questions" is the first search question product to complete comprehensive AI upgrades, deeply integrating AI capabilities into every link of self-study for college students and tutoring for parents. Whether it's new questions within the K12 range or professional questions from various qualification exams, Quark can find the corresponding questions and provide professional content in the form of graphics, videos, and AI answers step by step.
Quark's "Lingzhi" Learning Large Model Demonstrates Strong Capabilities
The emergence of large models has allowed Quark to solve many long-standing user pain points, and product capabilities and service levels have also achieved new developments. Previously, Quark's large model, known as the "academic霸," successfully topped the C-Eval and CMMLU authoritative lists, with multiple performances surpassing GPT-4. Quark's large model with billions of parameters also topped the performance evaluations in fields such as law, medicine, and Q&A. This has laid the foundation for Quark to accelerate learning product innovation.
With the comprehensive upgrade of Quark's "AI Search Questions," the "Lingzhi" learning large model behind it has also come to light. Its leading reasoning capabilities, response speed, and knowledge correctness are considered the "strongest brain" in the learning field. In the latest evaluations, Quark's "Lingzhi" learning large model has accuracy and scoring rates in graduate mathematics questions that can rival OpenAI's latest o1 model, and far exceed other domestic models.
