#Prompt Engineering
20 articles with this tag
Salesforce AI Careers: A New Talent Pipeline Emerges

Dynamic UI Controls Elevate AI Prompt Refinement

Brave Leo Skills Streamline Browser AI Workflows

Salesforce SLDS 2 Ushers in Agentic AI Era for UI Design

Engineering Predictability: The Evolution of LLM Prompting

Microsoft's ECHO Language Model learns from failure

Gemini 2.5 Pro Transforms Video Processing with Single API Calls

Prompt Engineering: The New Literacy for an AI-Augmented Future

Agentic AI Marketing Skills: 5 Essential Competencies Every Marketer Needs in 2025
Marketers must become expert "creative directors" for AI systems, crafting detailed briefs that produce on-brand, engaging content at scale.
Agentic AI Marketing Skills: 5 Essential Competencies Every Marketer Needs in 2025
\n The marketing landscape is experiencing its biggest transformation since the digital revolution.

The 100-Page Prompt and Nano Banana
The 100-Page Prompt and Nano Banana
\n Nano Banana and the emergence of a 100-page prompt, as detailed in a recent \"Mixture of Experts\" podcast featuring Tim Hwang, Aaron Baughman, Chris Hay, an...

Braintrust Unveils Loop, Automating AI Model Evaluation

Warp Redefines Developer Workflow with AI-Native Terminal

The Unseen Tide: Decoding and Defeating AI Slop

ChatGPT's Visual Leap: A New Frontier in Prompt-Driven Creation

How to Master AI Interaction and The Art of Effective Prompt Engineering
Few-shot prompting involves providing examples of the desired output format or style. If an AI is asked to convert technical jargon into plain language, offering a few pairs of original and simplified sentences can significantly improve the quality and consistency of its subsequent conversions.

Mastering AI Fluency and Prompting Through Comprehensive Description
The first critical element of this descriptive mastery is PRODUCT DESCRIPTION: the ability to clearly define the characteristics of your desired output.

Prompt Optimization on Amazon Bedrock and Multi-Adapter Inference with SageMaker
<p>Users can optimize prompts across multiple models with a single API call.</p><p>Dynamic loading of adapters based on requests, facilitating hyper-personalized solutions in various industries.</p>
