Remove Prompt Engineering Remove Python Remove Responsible AI
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Top Generative Artificial Intelligence AI Courses in 2024

Marktechpost

The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI. Generative AI for Everyone This course provides a unique perspective on using generative AI. It aims to empower everyone to participate in an AI-powered future.

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Top Generative Artificial Intelligence AI Courses in 2024

Marktechpost

The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI. Generative AI for Everyone This course provides a unique perspective on using generative AI. It aims to empower everyone to participate in an AI-powered future.

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Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

AWS Machine Learning Blog

This post focuses on RAG evaluation with Amazon Bedrock Knowledge Bases, provides a guide to set up the feature, discusses nuances to consider as you evaluate your prompts and responses, and finally discusses best practices.

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AIPrompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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

Marktechpost

With a prerequisite of intermediate Python knowledge, this course is designed for those looking to scale their LLM applications effectively, catering to a large user base while balancing performance and speed. Prompt Engineering with Llama 2 Discover the art of prompt engineering with Meta’s Llama 2 models.

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Making AI More Accessible With LLM Alignment, Prompt Engineering Skills, and a 2-for-1 ODSC West…

ODSC - Open Data Science

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. This all leads to the more pythonic way to orchestrate code: Prefect.

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Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning Blog

By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks. To support robust generative AI application development, its essential to keep track of models, prompt templates, and datasets used throughout the process.

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