AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

This article covers five prompt optimization strategies such as: prompt optimization, prompt engineering, LLM output quality, few-shot prompting, chain-of-thought, structured outputs.

ChatGPT's launch sparked a generative AI craze that is quickly changing the AI sector and job market. Workers who can advance developments of future models and improve the ones that exist now are in ...

As AI takes hold in the enterprise, Microsoft is educating developers with guidance for more complex use cases in order to get the best out of advanced, generative machine language models like those ...

Large Language Models (LLMs) such as OpenAI’s GPT series, Google’s BERT, and others have dramatically transformed the capabilities of AI in understanding and generating human-like text. The practice ...

Chain-of-thought (CoT) prompting is a prompt engineering technique that aims to improve language models' performance on tasks requiring logic, calculation and decision-making by structuring the input ...

Prompt chaining is a technique used when working with generative artificial intelligence (generative AI) models in which the output from one prompt is used as input for the next. This method is a form ...

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, ...