<p>旧金山 --（商业资讯）--Chegg, Inc.（纽约证券交易所代码：CHGG），一家全球学习公司，今天宣布其战略路线图的下一个阶段，利用其专有数据、运营专业知识和经过校准的主题专家网络，帮助组织培训和评估世界级的人工智能模型。</p>
<p>随着人工智能系统越来越依赖于来自人类反馈的强化学习和严格评估，对准确的领域特定专业知识的需求，特别是在 STEM 领域，变得至关重要。Chegg 独特地处于满足这一需求的有利位置，结合其在提供高质量学术解决方案方面的丰富经验，以及对大规模管理专家生成内容的深度结构化方法。</p>
<p>与主要将人工智能实验室与主题专家连接的新兴人才市场不同，Chegg 的方法建立在十多年开发运营系统的基础上，这些系统不仅能够寻找专家，还能严格评估、对齐并持续改进他们的输出。这使得 Chegg 能够超越提供人类专业知识的层面，提供所需的后端校准和质量保证，以持续生成可靠的高质量训练数据。</p>
<p>这种运营能力解决了当今人工智能开发面临的核心挑战。随着模型变得越来越复杂，瓶颈不再仅仅是技术问题，而是管理和维护一致的高质量人类输入的能力。Chegg 的优势在于解决这一运营挑战，确保专家贡献是结构化的、可审计的，并与现代人工智能系统的需求对齐。</p>
<p>“在 Chegg，我们很高兴扩大我们的战略重点，以帮助培训下一代人工智能模型，” Chegg 首席执行官 Dan Rosensweig 表示。“随着这些系统变得更加先进，成功不仅依赖于模型架构，还依赖于其背后的数据和人类专业知识的质量。凭借我们构建高度准确、结构化学习系统的经验，以及数百万个复杂的逐步推理解决方案和我们经过严格校准的专家网络，我们独特地处于帮助人工智能模型发展真正的推理和解决问题能力的有利位置。”</p>
<p>除了其专家网络，Chegg 还提供丰富的专有学术内容库，特别是在科学、技术、工程和数学领域。该数据集可以授权给人工智能实验室，尤其对训练模型以发展高级推理和解决问题能力非常有价值——这些领域需要高质量、结构化的数据。</p>
<p>Chegg 新产品的实力已获得来自精英科技组织的早期客户验证，包括 “七大杰出企业” 的成员，表明对其数据集质量和差异化内容的第三方信心。</p>
<p>“随着组织扩大人工智能的采用，挑战正日益从模型性能转向数据质量和治理，” Chegg 人工智能服务总经理 Erik Manuevo 表示。“Gartner 预测，到 2026 年，组织将因缺乏适合人工智能的数据而放弃 60% 的人工智能项目，这突显了可靠、经过校准的人类输入的需求。在 Chegg，我们相信答案在于将严格的数据质量标准与深具资质和经过校准的主题专家的判断相结合。这是 Chegg 独特地能够解决的差异化基础。”</p>
<p><strong>关于 Chegg</strong></p>
<p>Chegg 是一个学习平台，帮助企业为其员工带来新技能，并为终身学习者和学生提供成功所需的技能和信心。专注于价值 400 亿美元且不断增长的技能市场，Chegg 提供创新工具以提高工作准备、专业技能提升和语言学习。Chegg 还继续为学生提供基于人工智能（AI）的个性化支持。Chegg 始终致力于改善全球数百万人的学习成果和职业机会。Chegg 是一家上市公司，在纽约证券交易所以 CHGG 为交易代码。欲了解更多信息，请访问 www.chegg.com。</p>
<p><img src="https://imageproxy.pbkrs.com/https://cts.businesswire.com/ct/CT/query-ZGlzdHJvPW54JmlkPWJ3bmV3cyZsYW5nPWVuJnNpZD1hY3FyOCZzdHk9MjAyNjA1MTM2MzM3MjRyMQ?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://cts.businesswire.com/ct/CT/query-ZGlzdHJvPW54JmlkPWJ3bmV3cyZsYW5nPWVuJnNpZD1hY3FyOCZzdHk9MjAyNjA1MTM2MzM3MjRyMQ"/></p>
<p>在 businesswire.com 查看源版本：https://www.businesswire.com/news/home/20260513633724/en/</p>
<p>媒体联系：press@chegg.com</p>
<p>投资者联系：Tracey Ford, IR@chegg.com</p>
<p>来源：Chegg</p>

CHGG

<p>Chegg, Inc.（纽约证券交易所代码：CHGG）宣布扩展其人工智能模型训练业务，利用其专有数据和专业知识帮助组织开发高质量的人工智能模型。该公司旨在满足对准确、特定领域专业知识日益增长的需求，特别是在 STEM 领域。Chegg 的做法结合了结构化的专家网络和严格的质量保证，确保可靠的训练数据。来自主要科技组织的早期验证突显了对 Chegg 产品的信心，因为该公司正致力于应对人工智能开发中的数据质量和治理挑战</p>

<p>SAN FRANCISCO--(BUSINESS WIRE)--Chegg, Inc. (NYSE: CHGG), a global learning company, today announced the next phase of its strategic roadmap, applying its proprietary data, operational expertise, and calibrated network of subject matter experts to help organizations train and evaluate world-class AI models.</p>
<div class="lb-trans"><p>旧金山 --（商业资讯）--Chegg, Inc.（纽约证券交易所代码：CHGG），一家全球学习公司，今天宣布其战略路线图的下一个阶段，利用其专有数据、运营专业知识和经过校准的主题专家网络，帮助组织培训和评估世界级的人工智能模型。</p>
</div><p>As AI systems increasingly rely on reinforcement learning from human feedback and rigorous evaluation, the demand for accurate, domain-specific expertise – particularly in STEM fields – has become critical. Chegg is uniquely positioned to meet this need, combining its extensive experience delivering high-quality academic solutions with a deeply structured approach to managing expert-generated content at scale.</p>
<div class="lb-trans"><p>随着人工智能系统越来越依赖于来自人类反馈的强化学习和严格评估，对准确的领域特定专业知识的需求，特别是在 STEM 领域，变得至关重要。Chegg 独特地处于满足这一需求的有利位置，结合其在提供高质量学术解决方案方面的丰富经验，以及对大规模管理专家生成内容的深度结构化方法。</p>
</div><p>Unlike emerging talent marketplaces that primarily connect AI labs with subject matter experts, Chegg’s approach is built on over a decade of developing operational systems that not only source experts but rigorously assess, align, and continuously improve their output. This enables Chegg to go beyond providing a human layer of expertise by delivering the back-end calibration and quality assurance required to produce reliable, high-quality training data consistently.</p>
<div class="lb-trans"><p>与主要将人工智能实验室与主题专家连接的新兴人才市场不同，Chegg 的方法建立在十多年开发运营系统的基础上，这些系统不仅能够寻找专家，还能严格评估、对齐并持续改进他们的输出。这使得 Chegg 能够超越提供人类专业知识的层面，提供所需的后端校准和质量保证，以持续生成可靠的高质量训练数据。</p>
</div><p>This operational capability addresses a core challenge facing AI development today. As models become more sophisticated, the bottleneck is no longer purely technical – it is the ability to manage and maintain consistent, high-quality human input. Chegg’s strength lies in solving this operational challenge, ensuring that expert contributions are structured, auditable, and aligned to the needs of modern AI systems.</p>
<div class="lb-trans"><p>这种运营能力解决了当今人工智能开发面临的核心挑战。随着模型变得越来越复杂，瓶颈不再仅仅是技术问题，而是管理和维护一致的高质量人类输入的能力。Chegg 的优势在于解决这一运营挑战，确保专家贡献是结构化的、可审计的，并与现代人工智能系统的需求对齐。</p>
</div><p>“At Chegg, we’re excited to expand our strategic focus to help train the next generation of AI models,” said Dan Rosensweig, Chief Executive Officer of Chegg. “As these systems become more advanced, success depends not just on model architecture, but on the quality of the data and human expertise behind them. With our experience building highly accurate, structured learning systems – combined with millions of complex, step-by-step reasoning solutions and our rigorously calibrated expert network - we’re uniquely positioned to help AI models develop true reasoning and problem-solving capabilities.”</p>
<div class="lb-trans"><p>“在 Chegg，我们很高兴扩大我们的战略重点，以帮助培训下一代人工智能模型，” Chegg 首席执行官 Dan Rosensweig 表示。“随着这些系统变得更加先进，成功不仅依赖于模型架构，还依赖于其背后的数据和人类专业知识的质量。凭借我们构建高度准确、结构化学习系统的经验，以及数百万个复杂的逐步推理解决方案和我们经过严格校准的专家网络，我们独特地处于帮助人工智能模型发展真正的推理和解决问题能力的有利位置。”</p>
</div><p>In addition to its expert network, Chegg brings a robust library of proprietary academic content, particularly across science, technology, engineering, and mathematics. This dataset can be licensed to AI labs and is especially valuable for training models to develop advanced reasoning and problem-solving capabilities – areas where high-quality, structured data is essential.</p>
<div class="lb-trans"><p>除了其专家网络，Chegg 还提供丰富的专有学术内容库，特别是在科学、技术、工程和数学领域。该数据集可以授权给人工智能实验室，尤其对训练模型以发展高级推理和解决问题能力非常有价值——这些领域需要高质量、结构化的数据。</p>
</div><p>The strength of Chegg's new offering has gained early customer validation from elite technology organizations, including members of the 'Magnificent Seven,' signaling meaningful third-party confidence in the quality of its data sets and its differentiated content.</p>
<div class="lb-trans"><p>Chegg 新产品的实力已获得来自精英科技组织的早期客户验证，包括 “七大杰出企业” 的成员，表明对其数据集质量和差异化内容的第三方信心。</p>
</div><p>“As organizations scale AI adoption, the challenge is increasingly shifting from model performance to data quality and governance,” said Erik Manuevo, General Manager, AI Services at Chegg. “Gartner predicts that through 2026, organizations will abandon 60% of AI projects due to a lack of AI-ready data, highlighting the need for reliable, calibrated human input. At Chegg, we believe the answer lies in combining rigorous data quality standards with the judgment of deeply credentialed and calibrated subject matter experts. That is the differentiated foundation Chegg is uniquely positioned to solve.”</p>
<div class="lb-trans"><p>“随着组织扩大人工智能的采用，挑战正日益从模型性能转向数据质量和治理，” Chegg 人工智能服务总经理 Erik Manuevo 表示。“Gartner 预测，到 2026 年，组织将因缺乏适合人工智能的数据而放弃 60% 的人工智能项目，这突显了可靠、经过校准的人类输入的需求。在 Chegg，我们相信答案在于将严格的数据质量标准与深具资质和经过校准的主题专家的判断相结合。这是 Chegg 独特地能够解决的差异化基础。”</p>
</div><p><strong>About Chegg</strong></p>
<div class="lb-trans"><p><strong>关于 Chegg</strong></p>
</div><p>Chegg is a learning platform helping businesses bring new skills to their workforce and giving lifelong learners and students the skills and confidence to succeed. Focused on the skilling market, which is $40 billion and growing, Chegg offers innovative tools for workplace readiness, professional upskilling, and language learning. Chegg also continues to offer students artificial intelligence (AI)-driven, personalized support. Chegg remains committed to its mission of improving learning outcomes and career opportunities for millions around the world. Chegg is a publicly held company and trades on the NYSE under the symbol CHGG. For more information, visit www.chegg.com.</p>
<div class="lb-trans"><p>Chegg 是一个学习平台，帮助企业为其员工带来新技能，并为终身学习者和学生提供成功所需的技能和信心。专注于价值 400 亿美元且不断增长的技能市场，Chegg 提供创新工具以提高工作准备、专业技能提升和语言学习。Chegg 还继续为学生提供基于人工智能（AI）的个性化支持。Chegg 始终致力于改善全球数百万人的学习成果和职业机会。Chegg 是一家上市公司，在纽约证券交易所以 CHGG 为交易代码。欲了解更多信息，请访问 www.chegg.com。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://cts.businesswire.com/ct/CT/query-ZGlzdHJvPW54JmlkPWJ3bmV3cyZsYW5nPWVuJnNpZD1hY3FyOCZzdHk9MjAyNjA1MTM2MzM3MjRyMQ" alt="" original-src="https://cts.businesswire.com/ct/CT?id=bwnews&amp;sty=20260513633724r1&amp;sid=acqr8&amp;distro=nx&amp;lang=en"/></p>
<p>View source version on businesswire.com: https://www.businesswire.com/news/home/20260513633724/en/</p>
<div class="lb-trans"><p>在 businesswire.com 查看源版本：https://www.businesswire.com/news/home/20260513633724/en/</p>
</div><p>Media Contact: press@chegg.com</p>
<div class="lb-trans"><p>媒体联系：press@chegg.com</p>
</div><p>Investor Contact: Tracey Ford, IR@chegg.com</p>
<div class="lb-trans"><p>投资者联系：Tracey Ford, IR@chegg.com</p>
</div><p>Source: Chegg</p>
<div class="lb-trans"><p>来源：Chegg</p>
</div>

Chegg 扩展至 AI 模型训练——凭借十年的学习专业知识、领域专家和专有数据 | CHGG 股票新闻