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Securing RAG Pipelines Against Data PoisoningRetrieval-Augmented Generation, commonly known as RAG, has become one of the most practical ways to improve the accuracy and usefulness of generative AI systems. Instead of relying only on information learned during model training, a RAG application retrieves relevant content from external sources and provides it to a large language model before generating a response. This approach allows...0 Commentarios 0 Acciones 1 Views 0 Vista previaPlease log in to like, share and comment!
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Monitoring LLM Applications in Production: Latency, Cost, and QualityLaunching a large language model application is only the beginning. A chatbot, AI assistant, document summarizer, or Retrieval-Augmented Generation system may perform well during development, but production environments introduce real users, unpredictable prompts, changing data, traffic spikes, and strict business expectations. Traditional application monitoring focuses on uptime, server...0 Commentarios 0 Acciones 2 Views 0 Vista previa
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Chunking Strategies for RAG: Fixed-Size vs. Semantic SplittingRetrieval-Augmented Generation, commonly known as RAG, allows a large language model to answer questions using information from external sources such as company documents, policies, manuals, knowledge bases, and databases. However, before documents can be stored and retrieved effectively, they usually need to be divided into smaller pieces called chunks. Chunking may appear to be a simple...0 Commentarios 0 Acciones 1 Views 0 Vista previa
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How Copilot Uses Your Organization’s Data and Why Permissions MatterMicrosoft 365 Copilot is often described as an AI assistant for the workplace, but its real value comes from more than generating text. Copilot can use the information already available across your organization such as emails, documents, meetings, chats, calendars, and contacts to provide responses that are relevant to your actual work. This capability can save employees significant time....0 Commentarios 0 Acciones 1 Views 0 Vista previa
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Building Your First AI Agent: A Step-by-Step Framework OverviewArtificial intelligence is moving beyond simple chatbots and recommendation systems. Today, organizations are building AI agents that can understand goals, make decisions, use tools, and complete tasks with limited human intervention. From answering customer queries to analyzing reports and automating business workflows, AI agents are becoming practical digital team members. Building your first...0 Commentarios 0 Acciones 2 Views 0 Vista previa
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