Learn prompt engineering with this practical cheat sheet that covers frameworks, techniques, and tips for producing more ...

Prompt engineering keeps adding new techniques. One is the String Seed-of-Thought (SSoT) that aids options-choosing, game ...

When ChatGPT first launched and went viral, some common sentiments around the tool were that it was a shortcut to doing real work. Anybody could type in a few sentences and get text back that they ...

Zapier reports that context engineering is crucial for AI effectiveness, ensuring relevant information guides responses beyond just prompts.

Creating content with ChatGPT sounds easy on the surface. Ask it to write something, edit what it gives you, hit publish. But that's not how you create work worth reading. That's not how you stand out ...

When people program new deep learning AI models — those that can focus on the right features of data by themselves — the vast majority rely on optimization algorithms, or optimizers, to ensure the ...

The success of AI art hinges on the precision, creativity and understanding in the prompts. This guide outlines the structure of an AI art prompt and offers tips for writing them effectively with ...

In the world of Large Language Models, the prompt has long been king. From meticulously designed instructions to carefully constructed examples, crafting the perfect prompt was a delicate art, ...

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.

If you were trying to learn how to get other people to do what you want, you might use some of the techniques found in a book like Influence: The Power of Persuasion. Now, a pre-print study out of the ...