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Master prompt engineering for optimal AI results. Use the CSIR formula and best practices, such as being specific, stating your intent, and directing the output format.
Implement and deploy Llama 3.2 using Amazon SageMaker for generative AI tasks like content creation, conversational agents, and personalized recommendations.
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Explore the theoretical foundations and practical strategies for addressing duration bias to create balanced, fair, and effective recommendation systems.
Achieve efficiency and reliability in your GenAI RAG workflows with KubeMQ for seamless message handling and FalkorDB for fast, scalable data storage/retrieval.
Learn how AI coding assistants improved our team's efficiency by 40%, from code reviews to debugging, while navigating real-world challenges and best practices.
Learn to build an RAG application with Milvus and LlamaIndex, which can quickly handle big data and retrieve relevant information, especially when adopted together.
This article highlights DZone’s upcoming events, which offer insights into key industry trends and opportunities for professionals to learn, discuss, and grow.
Understanding the foundations behind the LangChain framework provides universal knowledge that can be applied when building complex agent-based systems.
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