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What is Retrieval-Augmented Generation (RAG)?
As we’re getting more used to Large Language Models (LLMs) and their applications, we’re also starting to see the gaps in the accuracy and reliability of the responses that we get from these models. LLMs can start hallucinating, which means that they provide a response that might seem accurate at first glance, but isn’t. One…
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My Product Management Toolkit (62): Morton’s Resolution Model
In my book Managing Product = Managing Tension I wrote about the importance of healthy conflict. If you can challenge each other’s ideas or opinions constructively, you’ll be able to resolve conflict in a productive manner. Since writing my book I’ve learned about “Morton’s Resolution Model” by Morton Deutsch. Deutsch was a social psychologist who…
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Learning about video and generative AI (2)
Last week I wrote about the arrival of Sora and this week I’ll cover two new contributions to the field of video and AI: Meta’s “V-JEPA” method and Alibaba’s “EMO” model. EMO With EMO (Emote Portrait Alive – why wasn’t it called “EPO”?!), users can create singing or talking videos, based off a static image…
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Learning about video and generative AI (1)
A couple of weeks ago, we saw and heard about two interesting breakthroughs in the world of AI generated content: Sora and V-JEPA. In this post I want to touch on SORA and its promise (and potential dangers) for the field of content production. Sora OpenAI has now introduced Sora, an AI model that generates…
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Glif (Product Review)
My summary of Glif before using it – A generative AI tools that lets you generate images, similar to Midjourney and Runway. How does Glif explain itself in the first minute? “Create, Remix and Run Magic AI Generators”, followed by the different content types one can create through Glif, varying from images to video. The…
As I learn ... 