<p class="text-h4">產業別：人工智慧應用服務產業</p> <p class="text-h4">產業痛點：</p> <div> <ul> <li><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">處理非結構化資料的過程中，通常需要大量人工介入，這會造成耗時且容易出錯的情況。由於非結構化資料涵蓋的領域相當廣泛，處理這些資料時，模型必須具備跨領域的知識整合能力，並且能夠有效捕捉上下文語意，確保回應和分析的準確性。此外，在即時處理大量資料時，不僅需要模型有快速運算能力，還需維持高水準的準確度和反應速度，否則可能影響產業決策或資料分析的效能</span>。</li> </ul> </div> <p class="text-h4">導入AI效益：</p> <div> <ul> <li><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">能夠自動化分析各類非結構化資料，包括公司文檔、新聞報導及社群媒體的情感分析等，顯著提升資料處理的速度與準確性。透過這樣的自動化資料處理，企業能夠更快從龐大的資訊中提取有效洞見，進而減少人力耗費，同時提高決策的品質與效率。這不僅讓企業能更快速應對市場變化，還能在競爭激烈的環境中保持靈活性與決策的精準度，進一步促進業務發展</span>。</li> <li><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">此外，該技術應用於研究機構和學術界時，能夠加快知識發現、文獻審閱與學術問答的過程，協助研究人員迅速篩選出有用的資料，從而顯著提升研究效率和成果轉化。透過這樣的資料分析，研究人員能在更短時間內找到關鍵研究內容，並進一步推動學術進展</span>。</li> </ul> </div> <p class="text-h4">常見AI技術：</p> <div> <ul> <li><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">開源程式，如：</span><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 標楷體; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;" lang="EN-US">Hugging Face</span><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">的</span><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 標楷體; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;" lang="EN-US">Transformer</span><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">、</span><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 標楷體; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;" lang="EN-US">Meta</span><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">的</span><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 標楷體; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;" lang="EN-US">Fairseq</span>。</li> </ul> </div>
<p class="text-h4">產業別：人工智慧應用服務產業</p> <p class="text-h4">產業痛點：</p> <div> <ul> <li><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">處理非結構化資料的過程中，通常需要大量人工介入，這會造成耗時且容易出錯的情況。由於非結構化資料涵蓋的領域相當廣泛，處理這些資料時，模型必須具備跨領域的知識整合能力，並且能夠有效捕捉上下文語意，確保回應和分析的準確性。此外，在即時處理大量資料時，不僅需要模型有快速運算能力，還需維持高水準的準確度和反應速度，否則可能影響產業決策或資料分析的效能</span>。</li> </ul> </div> <p class="text-h4">導入AI效益：</p> <div> <ul> <li><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">能夠自動化分析各類非結構化資料，包括公司文檔、新聞報導及社群媒體的情感分析等，顯著提升資料處理的速度與準確性。透過這樣的自動化資料處理，企業能夠更快從龐大的資訊中提取有效洞見，進而減少人力耗費，同時提高決策的品質與效率。這不僅讓企業能更快速應對市場變化，還能在競爭激烈的環境中保持靈活性與決策的精準度，進一步促進業務發展</span>。</li> <li><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">此外，該技術應用於研究機構和學術界時，能夠加快知識發現、文獻審閱與學術問答的過程，協助研究人員迅速篩選出有用的資料，從而顯著提升研究效率和成果轉化。透過這樣的資料分析，研究人員能在更短時間內找到關鍵研究內容，並進一步推動學術進展</span>。</li> </ul> </div> <p class="text-h4">常見AI技術：</p> <div> <ul> <li><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">開源程式，如：</span><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 標楷體; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;" lang="EN-US">Hugging Face</span><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">的</span><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 標楷體; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;" lang="EN-US">Transformer</span><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">、</span><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 標楷體; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;" lang="EN-US">Meta</span><span style="font-size: 12.0pt; font-family: 標楷體; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;">的</span><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 標楷體; mso-bidi-theme-font: minor-bidi; color: red; mso-ansi-language: EN-US; mso-fareast-language: ZH-TW; mso-bidi-language: AR-SA;" lang="EN-US">Fairseq</span>。</li> </ul> </div>
