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What it’s Like to be a Prompt Engineer

ODSC - Open Data Science

Prompt engineers are responsible for developing and maintaining the code that powers large language models or LLMs for short. But to make this a reality, prompt engineers are needed to help guide large language models to where they need to be. But what exactly is a prompt engineer ?

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5 Jobs That Will Use Prompt Engineering in 2023

ODSC - Open Data Science

With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must. So we have to ask, what kind of job now and in the future will use prompt engineering as part of its core skill set?

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5 Must-Have Skills to Get Into Prompt Engineering

ODSC - Open Data Science

Who hasn’t seen the news surrounding one of the latest jobs created by AI, that of prompt engineering ? If you’re unfamiliar, a prompt engineer is a specialist who can do everything from designing to fine-tuning prompts for AI models, thus making them more efficient and accurate in generating human-like text.

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Accelerate AWS Well-Architected reviews with Generative AI

Flipboard

Customizable Uses prompt engineering , which enables customization and iterative refinement of the prompts used to drive the large language model (LLM), allowing for refining and continuous enhancement of the assessment process. Add a new user to the Amazon Cognito user pool deployed by the AWS CDK during the setup.

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IBM watsonx Challenge empowers partners to solve real-world problems with AI

IBM Journey to AI blog

The challenges included using prompt engineering to analyze customer experience by using IBM® watsonx.ai™, automating repetitive manual tasks to improve productivity by using IBM watsonx™ Orchestrate, and building a generative AI-powered virtual assistant by using IBM watsonx™ Assistant and IBM watsonx™ Discovery.

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Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock

AWS Machine Learning Blog

We specifically instruct the LLM to first mimic a step-by-step thought process for arriving at the answer (chain-of-thought reasoning), an effective measure of prompt-engineering to improve the output quality. For this demo setup, we describe the manual steps taken in the AWS console.

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Achieving Critical Reliability in Instruction-Following with LLMs: How to Achieve AI Customer Service That’s 100% Reliable

Marktechpost

Traditional prompt engineering techniques fail to deliver consistent results. The two most common approaches are: Iterative prompt engineering, which leads to inconsistent, unpredictable behavior. Ensuring reliable instruction-following in LLMs remains a critical challenge.