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Accelerate AWS Well-Architected reviews with Generative AI

Flipboard

This solution automates portions of the WAFR report creation, helping solutions architects improve the efficiency and thoroughness of architectural assessments while supporting their decision-making process. The quality of prompt (the system prompt, in this case) has significant impact on the model output.

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Build agentic systems with CrewAI and Amazon Bedrock

Flipboard

It simplifies the creation and management of AI automations using either AI flows, multi-agent systems, or a combination of both, enabling agents to work together seamlessly, tackling complex tasks through collaborative intelligence. At a high level, CrewAI creates two main ways to create agentic automations: flows and crews.

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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 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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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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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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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.