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: 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: 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
2025-07-14What is AI Search? The Evolution from Keywords to Vector Search & RAG
(00:00) AI search is transforming how we locate and consume information online, but how? Well, back in the day, search engines were pretty simple because they were based more or less just on keyword search. They matched words in a user's query to ...(00:00) AI search is transforming how we locate and consume information online, but how? Well, back in the day, search engines were pretty simple because they were based more or less just on keyword search. They matched words in a user's query to ... -
Publisher: IBM Technology
2025-06-30How to Make AI More Accurate: Top Techniques for Reliable Results
In this video, IBM Technology explains several techniques to improve AI accuracy. The speakers discuss methods such as Retrieval Augmented Generation (RAG), choosing the proper model, Chain of Thought prompting, LLM chaining, Mixture of Experts (MoE...In this video, IBM Technology explains several techniques to improve AI accuracy. The speakers discuss methods such as Retrieval Augmented Generation (RAG), choosing the proper model, Chain of Thought prompting, LLM chaining, Mixture of Experts (MoE... -
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: IBM Technology
2025-06-07LangChain vs LangGraph: A Tale of Two Frameworks
This video compares LangChain and LangGraph—two open source frameworks for building applications with large language models. It explains each framework’s architecture, components, and state management approaches, and outlines the scenarios where ...This video compares LangChain and LangGraph—two open source frameworks for building applications with large language models. It explains each framework’s architecture, components, and state management approaches, and outlines the scenarios where ... -
Publisher: IBM Technology
2025-06-07RAG vs. CAG: Solving Knowledge Gaps in AI Models
This video explains two methods—Retrieval-Augmented Generation (RAG) and Cache-Augmented Generation (CAG)—to overcome the knowledge limitations of large language models. It details how each technique processes and utilizes external information, c...This video explains two methods—Retrieval-Augmented Generation (RAG) and Cache-Augmented Generation (CAG)—to overcome the knowledge limitations of large language models. It details how each technique processes and utilizes external information, c... -
Publisher: Reforge
2024-06-27LLMs AI Search Optimization Strategies
**(00:02)**  Let's get started! I'm really excited for this session on LLMs, AI search, and strategies for optimizing in this new search paradigm. I'm Ethan, CEO of Graphite. We’re an SEO agency and build SEO tools, developing strategies for co...**(00:02)**  Let's get started! I'm really excited for this session on LLMs, AI search, and strategies for optimizing in this new search paradigm. I'm Ethan, CEO of Graphite. We’re an SEO agency and build SEO tools, developing strategies for co... -
Publisher: Search Engine Land
2023-10-25How Search Generative Experience works and why retrieval-augmented generation is our future
The article from Search Engine Land discusses the impact of Search Generative Experience (SGE) and retrieval-augmented generation (RAG) on the future of search engines and SEO. Here are the key points: 1. **Search Generative Experience (SGE):** SGE...The article from Search Engine Land discusses the impact of Search Generative Experience (SGE) and retrieval-augmented generation (RAG) on the future of search engines and SEO. Here are the key points: 1. **Search Generative Experience (SGE):** SGE...
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