Content Marketing: Curated articles on content curation and its supported applications! We use our curation tools to power curated newsletters and conversational chatbots like the one you see on this page.
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Publisher: AI News & Strategy
2025-11-05The Mental Models of Master Prompters: 10 Techniques for Advanced Prompting
(00:00) Teaching AI is really hard. Teaching advanced prompting is even harder. This video will make it easier. My goal is to equip you with an understanding of the mental models, the principles that advanced prompters use. We're going to go beyond t...(00:00) Teaching AI is really hard. Teaching advanced prompting is even harder. This video will make it easier. My goal is to equip you with an understanding of the mental models, the principles that advanced prompters use. We're going to go beyond t... -
Publisher: IBM Technology
2025-09-08Context Engineering vs. Prompt Engineering: Smarter AI with RAG & Agents
Prompt engineering is crafting the instruction text for an LLM (instructions, examples, formatting) to steer its output. Context engineering is the system-level work that programmatically assembles everything the model sees at inference—prompts, re...Prompt engineering is crafting the instruction text for an LLM (instructions, examples, formatting) to steer its output. Context engineering is the system-level work that programmatically assembles everything the model sees at inference—prompts, re... -
Publisher: Nick Saraev
2025-08-06$2.4M of Prompt Engineering Hacks in 53 Mins (GPT, Claude)
(00:00) Here is 6 years of prompt engineering in 53 minutes. I started working with AI in 2019 using GPT-2. Since then, I’ve built several service and consulting businesses: one did \$92,000 a month, another $72,000 a month, and my current one did...(00:00) Here is 6 years of prompt engineering in 53 minutes. I started working with AI in 2019 using GPT-2. Since then, I’ve built several service and consulting businesses: one did \$92,000 a month, another $72,000 a month, and my current one did... -
Publisher: IBM Technology
2025-07-26Context Optimization vs LLM Optimization: Choosing the Right Approach
This video explains two key approaches to optimizing large language models (LLMs): context optimization (using prompt engineering and retrieval augmented generation or RAG) and model optimization through fine tuning. Using a retail store analogy, the...This video explains two key approaches to optimizing large language models (LLMs): context optimization (using prompt engineering and retrieval augmented generation or RAG) and model optimization through fine tuning. Using a retail store analogy, the... -
Publisher: IBM Technology
2025-06-07RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models
This video explains three approaches to improving large language model outputs: Retrieval Augmented Generation (RAG), Fine-Tuning, and Prompt Engineering. It covers how each method works, the benefits they offer, and the trade-offs involved in applyi...This video explains three approaches to improving large language model outputs: Retrieval Augmented Generation (RAG), Fine-Tuning, and Prompt Engineering. It covers how each method works, the benefits they offer, and the trade-offs involved in applyi... -
Publisher: Google
2025-04-22Comprehensive Guide to Prompt Engineering
The document is a comprehensive guide on "Prompt Engineering," authored by Lee Boonstra and contributed to by various experts. It provides insights into crafting effective prompts for large language models (LLMs), particularly focusing on the Gemini ...The document is a comprehensive guide on "Prompt Engineering," authored by Lee Boonstra and contributed to by various experts. It provides insights into crafting effective prompts for large language models (LLMs), particularly focusing on the Gemini ... -
Publisher: openAI
2025-03-11Prompt Engineering
This guide provides strategies to improve responses from large language models like GPT-4o. Experimentation is encouraged to find the most effective methods. Six Strategies for Better Results 1. Write Clear Instructions Models cannot infer your inte...This guide provides strategies to improve responses from large language models like GPT-4o. Experimentation is encouraged to find the most effective methods. Six Strategies for Better Results 1. Write Clear Instructions Models cannot infer your inte... -
Publisher: Jeffrey Kaplan
2024-12-05Advertising doesnt work the way you think it does
Prompt engineering is key to get AI to help you craft the right marketing message, but to do that we need to have an understanding of how marketing works. This video will give you some great insights in how to create your prompts. Learn about social...Prompt engineering is key to get AI to help you craft the right marketing message, but to do that we need to have an understanding of how marketing works. This video will give you some great insights in how to create your prompts. Learn about social... -
Publisher: IBM Technology
2024-10-13What is Prompt Tuning?
(00:00) Large language models like ChatGPT are examples of foundation models, large reusable models that have been trained on vast amounts of knowledge on the Internet, and they're super flexible. The same large language model can analyze a legal ...(00:00) Large language models like ChatGPT are examples of foundation models, large reusable models that have been trained on vast amounts of knowledge on the Internet, and they're super flexible. The same large language model can analyze a legal ... -
Publisher: Daragh Walsh
2024-02-02ChatGPT Tutorial 2024: How to Use ChatGPT - Beginner to Pro!
In this up-to-date ChatGPT tutorial you are going learn how to use ChatGPT and go from beginner to pro in 1 hour! [00:06] Learn how to go from beginner to pro in one hour with this ChatGPT tutorial. - Get started by signing up for a free account on c...In this up-to-date ChatGPT tutorial you are going learn how to use ChatGPT and go from beginner to pro in 1 hour! [00:06] Learn how to go from beginner to pro in one hour with this ChatGPT tutorial. - Get started by signing up for a free account on c...
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