#Prompt Engineering
33 articles with this tag
Andrej Karpathy: AI Models Need Human-Like Reasoning
Andrej Karpathy discusses the evolution of AI from programming to prompting, emphasizing the current need for models to develop human-like reasoning.
AI Agents Failures & How To Stop Them
Danilo Campagna from Posthog discusses common LLM code generation failures and strategies for improvement, focusing on context, architecture, and human error.
Cloudflare's AI Code Review Overhaul
Cloudflare has engineered a sophisticated, multi-agent AI code review system to eliminate bottlenecks and improve code quality.
OpenAI's Ryan Lopopolo on Harnessing AI for Software Engineering
OpenAI's Ryan Lopopolo discusses how AI agents are reshaping software engineering, emphasizing the shift towards human oversight and strategic prompt design.
7 Skills for Effective Agent Engineering
IBM AI Engineer Bri Kopecki outlines 7 key skills for building effective AI agents, emphasizing system design, tool integration, and reliability beyond basic prompt engineering.
OpenAI's Prompting Playbook
OpenAI outlines essential steps for crafting effective AI prompts, emphasizing clarity, context, and output specification for better results.
ChatGPT's New Image Generation
OpenAI's ChatGPT now generates images from text prompts, enabling rapid visual content creation and iteration through precise user instructions.
ChatGPT: Your AI Writing Assistant
OpenAI details how ChatGPT can act as a powerful co-pilot for professional writing, streamlining drafting, revision, and audience adaptation.
LLM Evaluators: Beyond Naive Judgments
Mahmoud Malaeb of Argenta discusses the limitations of naive LLM judges and introduces GEPA, an optimization framework for building more accurate LLM evaluators using a data flywheel approach.
Meta-Harness: AI Optimizes AI Development
Researchers unveil Meta-Harness, a novel AI system that automates harness optimization, leading to faster and more capable LLMs.
OpenAI Tames AI Chaos with Instruction Hierarchy
OpenAI's new IH-Challenge dataset trains AI models to prioritize instructions, enhancing safety and mitigating risks like prompt injection.
Cracking OpenAI's Training Data Secrets
A novel emoji-based technique allows researchers to infer the composition of OpenAI's training data, suggesting the inclusion of reasoning traces.
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
Ayo Adedeji, Google\'s Developer Relations Engineer, boldly declared, \"Or, you could just not do any of that.
Gemini 2.5 Pro Transforms Video Processing with Single API Calls
Ayo Adedeji, Google\'s Developer Relations Engineer, boldly declared, \"Or, you could just not do any of that.
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
\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...
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>
