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In the ever-evolving landscape of artificial intelligence, the art of promptengineering has emerged as a pivotal skill set for professionals and enthusiasts alike. Promptengineering, essentially, is the craft of designing inputs that guide these AI systems to produce the most accurate, relevant, and creative outputs.
GM: Well before this training challenge, we had done a lot of work in organizing our data internally. We had spent a lot of time thinking about how to centralize the management and improve our dataextraction and processing. Then, we had a lot of machine-learning and deep-learning engineers.
GM: Well before this training challenge, we had done a lot of work in organizing our data internally. We had spent a lot of time thinking about how to centralize the management and improve our dataextraction and processing. Then, we had a lot of machine-learning and deep-learning engineers.
GM: Well before this training challenge, we had done a lot of work in organizing our data internally. We had spent a lot of time thinking about how to centralize the management and improve our dataextraction and processing. Then, we had a lot of machine-learning and deep-learning engineers.
Task 1: Query generation from natural language This task’s objective is to assess a model’s capacity to translate natural language questions into SQL queries, using contextual knowledge of the underlying data schema. We used promptengineering guidelines to tailor our prompts to generate better responses from the LLM.
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