Xiao-I (AIXI) Responds to "DeepSeek" Developments, Showcases Cost-Effective RL Breakthroughs in Hua Zang LLM, and Announces U.S. Expansion
Rhea-AI Summary
Xiao-I (NASDAQ: AIXI) has responded to recent 'DeepSeek' developments by highlighting its established expertise in reinforcement learning (RL) technology integrated into its Hua Zang Large Language Model (LLM). The company emphasizes its cost-effective approach, which reduces both licensing and hardware expenses while maintaining high performance.
The Hua Zang LLM features proprietary RL techniques developed through years of R&D, enabling efficient deployment with minimal infrastructure requirements. The system has already demonstrated success in projects like HR digitization for a Hong Kong government entity.
Key advantages of Hua Zang LLM include an efficient RL framework optimizing training times, scalable infrastructure that doesn't require extensive GPU clusters, and flexible licensing models. Following its success in Asia, Xiao-I has announced plans to expand its enterprise LLM solutions into the United States market.
Positive
- Developed proprietary RL technology reducing infrastructure and licensing costs
- Successfully implemented HR digitization project for Hong Kong government
- Planned expansion into U.S. market with enterprise LLM solutions
- Offers scalable infrastructure without requiring expensive GPU clusters
Negative
- None.
News Market Reaction 1 Alert
On the day this news was published, AIXI declined 8.70%, reflecting a notable negative market reaction.
Data tracked by StockTitan Argus on the day of publication.
Xiao-I's Hua Zang LLM leverages cutting-edge RL algorithms that the company has been refining for years—capabilities that have enabled the model to be deployed with minimal infrastructure outlay. The company underscored that the latest headlines around "DeepSeek" are unsurprising, given the company's ongoing research and innovation in advanced AI.
"As attention grows around new AI developments like DeepSeek, we want our investors and clients to know that Xiao-I has been quietly but diligently pushing the boundaries of reinforcement learning," said a company spokesperson. "Our Hua Zang LLM incorporates proprietary RL techniques, which deliver high performance and scalability, yet maintain a cost structure that sets us apart from other large language models. This efficiency has already proven itself in applications such as our recent HR digitization project for a
Hua Zang LLM's Advantages
- Reinforcement Learning (RL) Core: Years of in-house R&D have culminated in a more efficient RL framework, optimizing training times and deployment costs.
- Scalable Infrastructure: Achieves top-tier performance industry-specific model without requiring extensive, high-cost GPU clusters, lowering total cost of ownership for enterprise clients.
- Competitive Licensing Model: Offers flexible, cost-effective licensing, making enterprise-scale LLM adoption accessible to organizations of all sizes.
Following success in
"We are excited to bring our cost-effective solutions to
About Xiao-I Corporation
Xiao-I Corporation is a leading cognitive intelligence enterprise in
Forward-Looking Statements
This press release contains forward-looking statements as defined by the Private Securities Litigation Reform Act of 1995. Forward-looking statements include statements concerning plans, objectives, goals, strategies, future events or performance, and underlying assumptions and other statements that are other than statements of historical facts. When the Company uses words such as "may," "will," "intend," "should," "believe," "expect," "anticipate," "project," "estimate" or similar expressions that do not relate solely to historical matters, it is making forward-looking statements. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that may cause the actual results to differ materially from the Company's expectations discussed in the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the following: the Company's ability to achieve its goals and strategies, the Company's future business development and plans for future business development, including its financial conditions and results of operations, product and service demand and acceptance, reputation and brand, the impact of competition and pricing, changes in technology, government regulations, fluctuations in general economic and business conditions in
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SOURCE Xiao-I Corporation