Jon Mead
@jiuks
Jon Mead
The starting point of any RAG system is its source data, often consisting of a vast corpus of text documents, websites, or databases
DataStax • Retrieval Augmented Generation (RAG) Explained: Understanding Key Concepts
18) Great copy reads like your customer wrote it. Talk to them.
Vasquez’s mix of Lectroluv’s ‘Dream Drums’
Matthew Collin • Rave On: Global Adventures in Electronic Dance Music
David Bowie also had a go with ‘Even a Fool Learns to Love’, later recycling the rejected material as ‘Life on Mars?’
David Cheal • The Life of a Song: The stories behind 100 of the world's best-loved songs
Yet many of us who have tried to use data to inform decisions in organizations have experienced a different reality. One where we are constantly confused by how metrics are defined, bicker over how to interpret various analyses, and struggle to apply the insights into action.
Julie Zhuo • The Data-Informed Manifesto
Altogether about 200,000 wild wolves still roam the earth, but there are more than 400 million domesticated dogs.1 The world contains 40,000 lions compared to 600 million house cats; 900,000 African buffalo versus 1.5 billion domesticated cows; 50 million penguins and 20 billion chickens.
Yuval Noah Harari • Homo Deus: A Brief History of Tomorrow
Generative AI combines the encoding of vast corpuses of text and images—which act as training data—and a series of machine learning algorithms to turn text prompts into incredibly creative, intelligent, and useful visual and text responses.