Speechocean(SH:688787)2024-06-11 09:38Group 1: Financial Performance - In 2023, the company's revenue was 170 million yuan, a decrease of 35.33% compared to the previous year, primarily due to overseas clients undergoing layoffs and adjustments in business direction and R&D cycles [3] - The domestic business faced challenges despite macroeconomic stabilization, with clients showing caution in centralized R&D investments, leading to a slowdown in budget releases and increased competition in the industry [3][4] Group 2: Revenue Growth Factors - The revenue growth in Q1 2024 was driven by the gradual development and application of large model technology, resulting in increased demand for data in AI research and development [4] - The company is currently engaging with regions such as Beijing, Anhui, Shandong, and Hebei for potential projects, with disclosures to follow if cooperation meets requirements [4][5] Group 3: Data Demand in Large Models - The data demand during the pre-training phase of large models differs from traditional training data in terms of scale, quality, and sources, with pre-training data typically in the tens of billions of tokens compared to around 1 billion for traditional models [5] - Future data demand is expected to continue growing significantly as more large model products are launched and iterated, particularly for high-quality, large-scale copyright data and public data [6][7] Group 4: Trends in Reinforcement Learning - The overall data demand for reinforcement learning is gradually increasing, with a trend towards expanding into more verticals such as law, finance, and healthcare [7] - There is a shift from single-modal to multi-modal data requirements, with a focus on text-video and text-image combinations in annotation tasks [8]