How can human-in-the-loop capabilities be used for generative AI applications powered by FMs?
如何將人工參與功能用於由 FM 支援的生成式 AI 應用程式？
Human-in-the-loop capabilities play an important role in creating and improving generative AI applications powered by FMs. A highly skilled human workforce that is trained on the tasks’ guidelines can provide feedback, guidance, inputs, and assessment in activities like generating demonstration data to train FMs, correcting and improving sample responses, fine-tuning a model based on company and industry data, acting as a safeguard against toxicity and bias and more. Human-in-the-loop capabilities, therefore, can improve model accuracy and performance.
人工參與功能在建立和改進由 FM 支援的生成式 AI 應用程式中發揮著重要作用。經過任務指南訓練的高技能勞動力可以在活動 (如產生示範資料以訓練 FM、糾正和改善樣本回應、根據公司和產業資料微調模型等) 中提供回饋、指導、輸入和評估，作為防止毒害和偏見等的保障措施。因此，人工參與功能可以提高模型準確度和效能。