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I Want Flexible Queries, Not RAG

There is a lot of excitement around retrieval augmented generation or "RAG." Roughly the idea is: some of the deficiencies in current generative AI or large language models (LLMs) can be papered over by augmenting their hallucinations with links, references, and extracts from definitive source documents. I.e.: knocking the LLM back into the lane. LLMs…
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A Time Series Apologia

I would like to share a new article on some of the methods and pitfalls of time series forecasting: "A Time Series Apologia". In it I work the seemingly simple problem of forecasting a noisy copy of sin(t). The purpose of the article is to demonstrate using ARIMA methods, and to show that it is…
John Mount Time Series Predicting Machine

The Sell ∀ ∃ as ∃ ∀ Scam

Artificial intelligence, like machine learning before it, is making big money off what I call the "sell ∀ ∃ as ∃ ∀ scam." The scam works as follows. Build a system that solves problems, but with an important user-facing control. For AI systems like GPT-X this is "prompt engineering." For machine learning it is commonly…
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