Postgres and the Artificial Intelligence Landscape
summary
Covers doing machine learning and AI workloads inside PostgreSQL rather than externally, explaining the advantages of in-database ML for tasks like fraud detection, voice recognition, and recommendation. Describes techniques and tooling to perform the heavy numerical computations (millions of probabilities/weights) inside Postgres so models run close to the stored data.
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