This week, we highlight three articles that focus on emerging topics and techniques around large language models. The post LLMs Continue to Evolve. So Should Your Skill Set. appeared first on Towards…

Practical tips to recognise and avoid prompt bias. The post How Your Prompts Lead AI Astray appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

A recent surge in advocacy for JSON-formatted prompts has swept through social media, particularly among developer circles in the AI space. These posts, usually in threads that begin with titles such as “You’re missing out big time if you’re not using JSON…

From random example selection to systematic AuPair generation  — how to make your LLM prompts actually work The post Finding Golden Examples: A Smarter Approach to In-Context Learning appeared first on Towards Data Science. Generated by RSStT. The copyright…

Nesse vídeo eu falo sobre a nova integração do TRAE com SUPABASE e como é importante ter um prompt bem feito. Usanfo a ferramenta PRD Prompt , ela cria prompts incríveis e totalmente funcionais.


🔥Link TRAE
🔹 Baixe o TRAE : https://bit.ly/4lHJ6E6

🚨🚨Link…

Prompt Engineering is obsolete, now what?

Conheça uma maneira fácil de escrever prompts para seus agentes de IA!
🟦 Meu Curso N8N Fácil: https://guilhermelaz.com.br/curso

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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