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16 articles
A simple prompt trick involving specifying an artistic style has been shown to improve AI-generated images across different platforms and models.
As AI transforms the workplace, professionals are mastering skills that allow them to become 'AI native'—fluently integrating and optimizing artificial intelligence into their workflows.
This article explains how to build a complete Langfuse observability and evaluation pipeline for LLM development, covering tracing, prompt management, scoring, and experimentation.
51% of professionals report that AI workslop lowers their productivity, highlighting the need for better AI implementation strategies. Experts suggest two key steps to combat this issue.
This article explores how advanced AI coding assistants like Codex work, using a real-world example of generating Linux window manager configurations. It explains the underlying technology and reveals important limitations of current AI systems.
Learn to build an AI-native workflow system that combines data engineering, prompt engineering, and language model integration - skills in high demand in today's job market.
This article explores advanced prompting techniques for large language models, including negative constraints, structured JSON outputs, and multi-hypothesis verbalized sampling, essential for reliable production deployment.
Learn how to create AI-generated avatars using text-to-image and image-to-image techniques, similar to those used in recent AI grift scams. This tutorial teaches character creation, prompt engineering, and image refinement.
OpenAI releases a comprehensive guide to help users master the art of prompting, emphasizing that clear and effective prompts are crucial for getting better responses from ChatGPT.
This article explains the advanced AI concepts behind large language models and how they can be misused, using the Florida shooting case as a case study to illustrate the complex challenges of AI safety and accountability.
AutoAgent is an open-source library that automates the optimization of AI agents, allowing engineers to improve their systems overnight without manual intervention.
OpenAI releases prompt-based teen safety policies for developers using gpt-oss-safeguard, helping moderate age-specific risks in AI systems.
