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<p style="margin: 16px 0px; color: rgb(15, 17, 21); font-family: quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Oxygen, Ubuntu, Cantarell, &quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">The Lingda Agent Platform by&nbsp;<a href="https://autoagents.ai/" rel="noreferrer" style="color: rgb(57, 100, 254); transition: box-shadow 0.2s cubic-bezier(0.4, 0, 0.2, 1); border-width: 1.45455px 2.90909px; border-style: solid; border-color: rgba(255, 255, 255, 0); margin-left: -3px; margin-right: -3px; text-decoration: none; position: relative;" target="_blank">AutoAgents.ai</a> is an enterprise grade intelligent solution that converts large language models from general purpose reasoning into precise and reliable execution. Built upon a proprietary Multi Agent Architecture, the platform introduces a centralized scheduling with decentralized reasoning framework that overcomes the context window limitations of traditional models. Through distributed inference and self orchestrated knowledge flows, multiple specialized agents collaborate like an assembly line to handle complex tasks in parallel. This design delivers four core strengths strong generalization, high efficiency, exceptional accuracy, and cost effectiveness, making Lingda practical for large scale industrial deployment across demanding sectors such as energy, finance, auditing, manufacturing, and public services.</p><p style="margin: 16px 0px; color: rgb(15, 17, 21); font-family: quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Oxygen, Ubuntu, Cantarell, &quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">The platform combines multimodal Retrieval Augmented Generation (RAG) with powerful tool integration capabilities, allowing agents to retrieve real time information from internal enterprise knowledge bases and dynamically invoke specialized software applications. By grounding responses in up to date authoritative data and incorporating tool results directly into reasoning chains, Lingda significantly reduces model hallucinations and enhances decision depth and accuracy. This context aware approach ensures that every action taken by an agent is informed by the most relevant and reliable information available within the organization.</p><p style="margin: 16px 0px; color: rgb(15, 17, 21); font-family: quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Oxygen, Ubuntu, Cantarell, &quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">A distinctive feature of Lingda is its Reinforcement Fine Tuning (RFT) adaptive evolution technology. Unlike traditional fine tuning that depends on massive human annotated datasets, RFT enables agents to continuously refine their model weights based on feedback signals from task execution. Through AI generated self labeling and iterative self improvement, the platform achieves human level performance and often surpasses humans on specialized domain tasks. This allows Lingda to become smarter with every deployment, continuously adapting to the unique patterns and requirements of each business environment without ongoing human intervention.</p><p style="margin-top: 16px; margin-right: 0px; margin-bottom: 0px !important; margin-left: 0px; color: rgb(15, 17, 21); font-family: quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Oxygen, Ubuntu, Cantarell, &quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">Beyond reasoning and decision making, Lingda actively performs work through fully automated programming and human like operations. The platform generates production grade code from business language specifications, automatically debugs and repairs code within a Docker based sandbox environment, and completes development tasks autonomously. Agents can also browse the web, retrieve data across systems, and interact with common enterprise software just as a human user would. With proven large scale applications in energy, power, finance, auditing, manufacturing, and public services, Lingda truly reconstructs knowledge work processes through its agent assembly line and drives exponential improvements in efficiency.</p>

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