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10 Best Prompt Engineering Courses

Unite.AI

In the ever-evolving landscape of artificial intelligence, the art of prompt engineering has emerged as a pivotal skill set for professionals and enthusiasts alike. Prompt engineering, essentially, is the craft of designing inputs that guide these AI systems to produce the most accurate, relevant, and creative outputs.

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Bloomberg’s Gideon Mann on the power of domain specialist LLMs

Snorkel AI

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 data extraction and processing. Then, we had a lot of machine-learning and deep-learning engineers.

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Bloomberg’s Gideon Mann on the power of domain specialist LLMs

Snorkel AI

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 data extraction and processing. Then, we had a lot of machine-learning and deep-learning engineers.

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Bloomberg’s Gideon Mann on the power of domain specialist LLMs

Snorkel AI

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 data extraction and processing. Then, we had a lot of machine-learning and deep-learning engineers.

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Using LLMs to fortify cyber defenses: Sophos’s insight on strategies for using LLMs with Amazon Bedrock and Amazon SageMaker

AWS Machine Learning Blog

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 prompt engineering guidelines to tailor our prompts to generate better responses from the LLM.

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