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Prompt Engineering

Here, you’ll find all articles related to prompt engineering.

Prompt engineering is a technique that has been widely used in the field of natural language processing and machine learning. Since the hype around ChatGPT, the term is now often associated with generative AI specifically large language models and those from OpenAI. The primary goal of prompt engineering is to generate high-quality text responses by designing and fine-tuning a prompt. The prompt serves as a starting point for generating a response. By carefully selecting and modifying the prompt, it is possible to optimize the output for a specific task, such as answering a question or summarizing a long text. You can use this technique in chatbots, virtual assistants, and language translation systems to improve response accuracy and relevance. Careful prompt selection and modification are key to success.

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Talk to Your Own Data with ChatGPT in Python: Step-by-Step Guide Leveraging Cosmos DB for Mongo DB vCore

May 29, 2023May 27, 2023

Artificial Intelligence (AI), in particular, the advent of OpenAI’s ChatGPT, has revolutionized how we interact with technology. Chatbots powered by … Read more

prompt engineering for ChatGPT in business

ChatGPT Prompt Engineering Guide: Practical Advice for Business Use Cases

May 13, 2023March 31, 2023

As businesses continue to embrace the power of conversational AI, the ability to craft effective prompts for ChatGPT has become … Read more

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ChatGPT Style Guide: Understanding Voice and Tone Prompt Options for Engaging Conversations

March 31, 2023March 19, 2023

In a previous article, we looked at the value proposition of generative AI and ChatGPT (What is the Business Value … Read more

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