Sure! Here’s the translation into American English:
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Amazon has taken a significant step in the use of generative artificial intelligence with the launch of Amazon Q Business, a new business assistant designed to help organizations extract greater value from their data. This innovative system allows employees to efficiently access various sources of business information, facilitating tasks such as consulting human resources policies or optimizing technical support workflows. One of the standout features of Amazon Q Business is its ability to ensure that all responses and generated content comply with existing permissions and properly cite sources.
The technology underlying Amazon Q Business is based on a concept known as Retrieval-Augmented Generation (RAG), which allows AI models to ground their responses in specific data from each organization. However, applying this traditional approach faces limitations, especially in complex business environments where comprehensive and accurate answers are required.
To improve this situation, Amazon has introduced a more advanced version called RAG Agentic. This strategy is characterized by smarter and more dynamic retrieval, utilizing AI agents capable of planning and executing strategies to obtain more precise and complete answers. This results in a more effective and faster system that aligns with user expectations.
Innovations in Amazon Q Business also include query decomposition, which allows complex questions to be addressed in manageable parts. For example, if an employee asks about vacation policies in two states, the system works on both queries simultaneously, streamlining the search and enhancing the user experience. Additionally, real-time tracking of progress in data retrieval is incorporated, which builds confidence among employees.
Moreover, dialogue management has been optimized. The assistant can now maintain context across multiple interactions, asking clarifying questions when ambiguities arise, thus preventing users from having to repeat information already provided. This improvement allows for more efficient interpretation of policies or troubleshooting.
Another key feature is the dynamic optimization of responses, where agents can assess and refine the information presented, ensuring it is both complete and relevant. In complex scenarios, this allows the focus to remain on the initial conversation while capturing relevant contexts and exceptions.
With Amazon Q Business, organizations have the opportunity to interact more deeply and subtly with their data, facilitating queries in complicated scenarios. This not only improves the quality of responses but also positions Amazon as a leader in the field of business artificial intelligence, maximizing the potential of data assets within a security framework that respects existing access controls and permissions.
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via: MiMub in Spanish