Best of Prompt Engineering — September 2024

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   Article

   GoPenAI·2y

   Prompt Engineering Basic Guide

   Prompt engineering is crucial for optimizing interactions with large language models (LLMs). It involves designing prompts that include instructions, context, input data, and output indicators. Various types like zero-shot, few-shot, chain-of-thought, self-consistency, tree of thoughts, graph of thought, and forest of thoughts are used to enhance and direct LLM responses effectively. Understanding these techniques helps in improving the safety and capabilities of LLMs.

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2. 2
   Article

   Towards Data Science·2y

   Create Your Own Meal Planner Using ChatGPT

   Creating a meal planner using ChatGPT involves prompt engineering and integrating the OpenAI API with Python. This guide instructs on how to set up an OpenAI account, request an API key, and install necessary Python packages. Additionally, it provides techniques to steer ChatGPT's responses for personalized meal planning and explains how to parse ChatGPT results into structured formats such as JSON.

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3. 3
   Article

   Data Science Central·2y

   Your Personal GenAI Innovation Curriculum

   A comprehensive curriculum designed to help individuals leverage Generative AI (GenAI) tools for innovation and personal development. The curriculum offers a structured pathway from foundational knowledge to advanced applications, emphasizing critical thinking, ethical alignment, and strategic prompt engineering. It aims to transform the use of GenAI tools from merely improving productivity to driving significant innovative outcomes in various domains.

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4. 4
   Video

   bycloud·2y

   The Unreasonable Effectiveness of Prompt "Engineering"

   Prompt engineering is about effectively communicating with AI to enhance its performance. This involves providing context and resembling the data the model was trained on. Techniques like Chain of Thought and various prompting methods help AI articulate reasoning steps, improving its performance on complex tasks. The post discusses how prompt engineering has evolved to become critical in AI applications and introduces a free guide from HubSpot on leveraging AI for business. It also touches upon new language models and the importance of proper training and synthetic data in AI development.

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