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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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15 Short Artificial Intelligence (AI) Courses on DeepLearning.AI

Marktechpost

Participants will learn to spot and address vulnerabilities within LLM applications, applying cybersecurity methods to the AI domain. By utilizing Giskard’s open-source library, students will be equipped with the techniques to automate red teaming methods.

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How to become an AI+ enterprise

IBM Journey to AI blog

Do you use gen AI out of the box? How can you master prompt engineering? When should you prompt-tune or fine-tune? Where do you harness gen AI vs. predictive AI vs. AI orchestration? With the right tools, an AI+ enterprise can significantly increase employee productivity.

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A Guide to Mastering Large Language Models

Unite.AI

Prompting Rather than inputs and outputs, LLMs are controlled via prompts – contextual instructions that frame a task. Prompt engineering is crucial to steering LLMs effectively. Cohere provides a studio for automating LLM workflows with a GUI, REST API and Python SDK.

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Highlighting Microsoft’s Data Science and AI Learning Paths

ODSC - Open Data Science

Over the course of 3+ hours, you’ll learn How to take your machine learning model from experimentation to production How to automate your machine learning workflows by using GitHub Actions.

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Turning Point: Segment Anything

Heartbeat

One element that makes this study more important is that they have put forward an approach that adopts the ethical principles of Responsible AI. To see this capability effectively in applications, it is necessary to direct the language model with the correct prompt entries. Thus, the models produce more successful outputs.