How can we influence quality during the prompt creation stage, as well as how to work with already-generated text—improving it, identifying errors, and filtering out undesirable results. We'll explore linguistic approaches that help achieve better, more controlled outcomes from LLMs.
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AWS Discovery Day - Introduction to Prompt Engineering
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AWS Discovery Day – Introduction to Prompt Engineering
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Use AI for Everyday Tasks – and Agentic Development in Microsoft Fabric
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Prompt Engineering: The Contextual Scaffolds Framework
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AI Study Groups (Virtual) - GenAI, LLMs, RAG and Agent
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Learn the art of Prompt Engineering with best practices and safety features
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Beyond Boundaries: AI, GenAI, and LLMs Insights
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Un-conference at Merantix AI Campus
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AI Meetup (March): Generative AI and Train ML Models For Responsible AI
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WEBINAR "Mastering AI Prompts: A Course in Prompt Engineering"
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AI Agents from Scratch: A Beginner's LLM Workshop
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How We Build High-Quality, User-Oriented LLM Features at Grammarly
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