Prompt Engineering is obsolete, now what?

Conheça uma maneira fácil de escrever prompts para seus agentes de IA!
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Aprenda uma maneira rápida e fácil de escrever um bom prompt para seus agentes de IA no N8N! Nesse vídeo eu te mostro como eu…

In this video, I show you how to use LangExtract to generate high-quality metadata for your Retrieval Augmented Generation (RAG) system. By extracting structured data from unstructured documents, we can filter results more effectively and drastically improve…

In the early days of large language models (LLMs) like GPT-3, prompt engineering emerged as the most popular and sought after skill. By carefully crafting instructions, users could elicit intelligent responses from models with limited memory and no real-world…

Unlock Specialized AI Without Sacrificing Privacy

At Maple, we reject the false choice between powerful AI and data privacy. That's why we offer multiple specialized LLMs, all running in confidential computing environments with end-to-end encryption. Whether…

Part 2: Prompt Engineering for Features, Modeling, and Evaluation The post Advanced Prompt Engineering for Data Science Projects appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

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This post shows how an indirect prompt injection can trick Manus to expose the VS code server and at the same time leak its connection password, allowing an adversary to connect over the internet and gain full access to Manus's development machine

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Learn how to use the free BrightData MCP server to collect information from multiple diverse sources including hard to scrape sites like Amazon, Reddit etc. In this video I will show you…

This article is a journey into the fascinating and rapidly evolving science of LLM prompt iteration, which is a fundamental part of Large Language Model Operations (LLMOPs). We’ll use the example of generating customer service responses with a real-world…