A great book for beginners… actually for everyone!! https://lnkd.in/gwaKdKH2
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To clarify, “Weights” are the parameters learned in training and they determine response to a prompt & “Representations” are sequences that represent the words (or larger) tokens in the model. So a prompt is first converted to its “Representation” and then weights are applied to generate the response. So these chaps rather fiddle with representations than diddle with the weights… From the text: “”” A hallmark of current state-of-the-art PEFTs is that they modify weights rather than representations. However, much prior interpretability work has shown that representations encode rich semantic information, suggesting that editing representations might be a more powerful alternative to weight updates. “””
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Databricks announces DBRX, their own customizable LLM https://lnkd.in/g59qeDAS
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