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Prompt Engineering in GPT-3

Analytics Vidhya

Introduction What are Large Language Models(LLM)? Large Language Models are often tens of terabytes in size and are trained on massive volumes of text data, occasionally reaching petabytes. They’re also among the models with the most […].

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What is Temperature in Prompt Engineering?

Analytics Vidhya

Introduction Prompt engineering is key to dealing with large language models (LLMs) such as GPT-4. “Temperature,” one of the most important prompt engineering parameters, greatly impacts the model’s behavior and output. appeared first on Analytics Vidhya.

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Beginners Guide to Expert Prompt Engineering

Analytics Vidhya

Introduction Welcome to the exciting world of AI, where the emerging field of prompt engineering is key to unlocking the magic of large language models like GPT-4. This guide, inspired by OpenAI’s insights, is crafted especially for beginners.

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Master Advanced Prompt Engineering with LangChain for Context-Aware Language Models

Analytics Vidhya

Introduction Prompt engineering has become pivotal in leveraging Large Language models (LLMs) for diverse applications. As you all know, basic prompt engineering covers fundamental techniques. This article will delve into multiple advanced prompt engineering techniques using LangChain.

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What is Self-Consistency in Prompt Engineering?

Analytics Vidhya

Introduction Have you ever wondered what it takes to communicate effectively with today’s most advanced AI models? As Large Language Models (LLMs) like Claude, GPT-3, and GPT-4 become more sophisticated, how we interact with them has evolved into a precise science. appeared first on Analytics Vidhya.

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What is the Chain of Symbol in Prompt Engineering?

Analytics Vidhya

Introduction When it comes to working with Large Language Models (LLMs) like GPT-3 or GPT-4, prompt engineering is a game-changer. In this paper, we’ll dive into what […] The post What is the Chain of Symbol in Prompt Engineering? appeared first on Analytics Vidhya.

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How Can Prompt Engineering Transform LLM Reasoning Ability?

Analytics Vidhya

Introduction If you’ve worked with Large Language Models (LLMs), you’re likely familiar with the challenges of tuning them to respond precisely as desired. This struggle often stems from the models’ limited reasoning capabilities or difficulty in processing complex prompts. appeared first on Analytics Vidhya.