Tag: Prompt

The Best Ideogram Prompt Guide on the Internet

Ideogram.ai??? has been touted as a potential Midjourney killer for its mind blowing capabilities like rendering text into high quality photorealistic images. In this guide, we’ll tell you everything you need to know to start using this free tool in your daily workflows to get insane results. ...

The Art of Prompt Design: Use Clear Syntax

This is the first installment of a series on how to use guidance to control large language models (LLMs), written jointly with Marco Tulio Ribeiro. We’ll start from the basics and work our way up to more advanced topics. In this post, we’ll show that having clear s...

Summarising Best Practices for Prompt Engineering

Prompt engineering refers to the process of creating instructions called prompts for Large Language Models (LLMs), such as OpenAI’s ChatGPT. With the immense potential of LLMs to solve a wide range of tasks, leveraging prompt engineering can empower us to save significant time and fa...

Prompt Engineering: The Magical World of Large Language Models

Is it possible to combine machine learning with prompt engineering for large language models? A systematic data-driven approach to prompt engineering can be one of the most successful ways to generate the best prompts. In this article we’ll see exactly how this works by measuring and sco...

Advanced Prompt Engineering

The popularization of large language models (LLMs) has completely shifted how we solve problems as humans. In prior years, solving any task (e.g., reformatting a document or classifying a sentence) with a computer would require a program (i.e., a set of commands precisely written according to some p...

Prompt Engineering?????????How to trick AI into solving your problems

This is the fourth article in a series on using large language models (LLMs) in practice. Here, I will discuss prompt engineering (PE) and how to use it to build LLM-enabled applications. I start by reviewing key PE techniques and then walk through Python example code of using LangChain to...