Se muestra cómo los modelos de lenguaje y las aplicaciones que se basan en ellos pueden suponer un renacimiento de la escritura

How to move from “try and pray” to reproducible decisions on which prompt to use, by model and by domain.

Se muestra cómo los modelos de lenguaje y las aplicaciones que se basan en ellos pueden suponer un renacimiento de la escritura

L'émergence de l'intelligence artificielle (IA) a bouleversé le monde du marketing de contenu. Pour bien exploiter cette technologie, il est essentiel de maîtriser l'art de la formulation des…

How continuous learning shapes effective software development with LLMs

👉 Le prompt IA :  "Recherchez les meilleures stratégies de liens externes pour le sujet [sujet]"      🎁 Prompts gratuits : https://vivrea...

🚀 Et si la clé de votre référencement ne venait pas de Google… mais de vos connexions humaines ? 🔍 Le vrai pouvoir du netlinking ? Il ne ...

👉 Le prompt IA :  "Recherchez les meilleures stratégies de liens externes pour le sujet [sujet]"      🎁 Prompts gratuits : https://vivrea...

“Treat prompts like assets, not prayers.” Cold OpenEvery day, people rent answers from a prediction engine and pay with the only currency that actually hurts: time, attention, and dignity. Most “promp...

Background: Artificial intelligence (AI), particularly large language models (LLMs), presents a significant opportunity to transform #MentalHealthcare through scalable, on-demand support. While LLM-powered chatbots may help reduce barriers to care, their integration into clinical settings raises critical concerns regarding safety, reliability, and ethical oversight. A structured framework is needed to capture their benefits while addressing inherent risks. This paper introduces a conceptual model for prompt engineering, outlining core design principles for the responsible development of LLM-based #MentalHealth chatbots. Objective: This paper proposes a comprehensive, layered framework for prompt engineering that integrates evidence-based therapeutic models, adaptive technology, and ethical safeguards. The objective is to propose and outline a practical foundation for developing AI-driven #MentalHealth interventions that are safe, effective, and clinically relevant. Methods: We outline a layered architecture for an LLM-based #MentalHealth chatbot. The design incorporates: (1) an input layer with proactive risk detection; (2) a dialogue engine featuring a user state database for personalization and Retrieval-Augmented Generation (RAG) to ground responses in evidence-based therapies such as Cognitive Behavioral Therapy (CBT), Acceptance and Commitment Therapy (ACT), and Dialectical Behavior Therapy (DBT); and (3) a multi-tiered safety system, including a post-generation ethical filter and a continuous learning loop with therapist oversight. Results: The primary contribution is the framework itself, which systematically embeds clinical principles and ethical safeguards into system design. We also propose a comparative validation strategy to evaluate the framework’s added value against a baseline model. Its components are explicitly m#Apped to the FAITA-MH and READI frameworks, ensuring alignment with current scholarly standards for responsible AI development. Conclusions: The framework offers a practical foundation for the responsible development of LLM-based #MentalHealth support. By outlining a layered architecture and aligning it with established evaluation standards, this work offers guidance for developing AI tools that are technically capable, safe, effective, and ethically sound. Future research should prioritize empirical validation of the framework through the phased, comparative #Approach introduced in this paper.

AI is becoming a key QA tool, aiding in faster scenario generation, risk detection, and test planning. Arbaz Surti showed how effective prompting using roles, context, and output format helps to get clear, relevant, and actionable test scenarios. AI can boost testers, but human judgment is needed to ensure relevance and quality. By Ben Linders

Discover the full power of ChatGPT and turn it into your smartest business partner, creative collaborator, and productivity coach — all with the right...

Prompt Engineering: The Hidden Art of Talking to AI🌟 IntroductionIn recent years, we’ve learned to c