Remove Data Science Remove LLM Remove Prompt Engineering
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Prompt Engineering in GPT-3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction What are Large Language Models(LLM)? Most of you definitely faced this question in your data science journey. The post Prompt Engineering in GPT-3 appeared first on Analytics Vidhya.

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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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The Essential Guide to Prompt Engineering in ChatGPT

Unite.AI

The secret sauce to ChatGPT's impressive performance and versatility lies in an art subtly nestled within its programming – prompt engineering. This makes us all prompt engineers to a certain degree. Venture capitalists are pouring funds into startups focusing on prompt engineering, like Vellum AI.

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26 Prompting Principles to Improve LLM Performance

Analytics Vidhya

By providing specific instructions and context, prompts guide LLMs to generate more accurate and relevant responses. In this comprehensive guide, we will explore the importance of prompt engineering and delve into 26 prompting principles that can significantly improve LLM performance.

LLM 305
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How Travelers Insurance classified emails with Amazon Bedrock and prompt engineering

AWS Machine Learning Blog

However, there are benefits to building an FM-based classifier using an API service such as Amazon Bedrock, such as the speed to develop the system, the ability to switch between models, rapid experimentation for prompt engineering iterations, and the extensibility into other related classification tasks. Text from the email is parsed.

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Full Guide on LLM Synthetic Data Generation

Unite.AI

This capability is changing how we approach AI development, particularly in scenarios where real-world data is scarce, expensive, or privacy-sensitive. In this comprehensive guide, we'll explore LLM-driven synthetic data generation, diving deep into its methods, applications, and best practices.

LLM 256
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A Comprehensive Guide to LLM Temperature 🔥🌡️ | Towards Data Science

Flipboard

While building my own LLM-based application, I found many prompt engineering guides, but few equivalent guides for determining the temperature setting. Of course, temperature is a simple numerical value while prompts can get mindblowingly complex, so it may feel trivial as a product decision.