Articles for tag: Accuracy, AI, Data Handling, machine learning, natural language processing, prompt engineering, RAG

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Key Insights on Launching a Successful AI Agent: What Worked and What Didn’t in Maximilian Vogel’s Experience

The text discusses the importance of crafting effective prompts for AI, specifically in the context of Retrieval-Augmented Generation (RAG). It criticizes a standard prompt example for being too simplistic and lacking essential elements like proper output format, edge case handling, and reasoning. The author emphasizes that relying solely on quality data and code won’t yield ...

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