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When You’re Reaching Out to a Stranger You Admire Perhaps it’s someone who works in a relevant department at your dream company. Or, maybe it’s that experienced professional who has a stellar reputation in your field. Either way, you’re eager to establish some sort of connection with this person that you respect—even though you’ve never actually met. *Hello [Name],* *I hope you’re having a great week!* *My name is [Your name], and I work as [Position] at [Company]. I became familiar with your work when [how you discovered this person] and wanted to reach out to tell you how much I admire your [skill or specific experience].* *If you’re open to it, I’d love to [grab coffee/connect on LinkedIn/other opportunity to get to know each other] to [keep in touch/learn more about your experience].* *Really looking forward to keeping in touch, [Name]!* *Best,* *[Your name]*

4 Email Templates to Make Networking Way Less Awkward

Kat Boogaard

it’s important to realize that **ChatGPT and LaMDA aren’t trained to be correct**. You can train models that are optimized to be correct—but that’s a different kind of model. Models like that are being built now; they tend to be smaller and trained on specialized data sets (O’Reilly Media has a search engine that has been trained on the 70,000+ items in our learning platform). And you could integrate those models with GPT-style language models, so that one group of models supplies the *facts* and the other supplies the *language*.

Sydney and the Bard

Mike Loukides

In [theoretical computer science](https://en.wikipedia.org/wiki/Theoretical_computer_science), the **CAP theorem**, also named **Brewer's theorem** after computer scientist [Eric Brewer](https://en.wikipedia.org/wiki/Eric_Brewer_(scientist)), states that any [distributed data store](https://en.wikipedia.org/wiki/Distributed_data_store) can provide only [two of the following three](https://en.wikipedia.org/wiki/Trilemma) guarantees: [Consistency](https://en.wikipedia.org/wiki/Consistency_model) Every read receives the most recent write or an error. [Availability](https://en.wikipedia.org/wiki/Availability) Every request receives a (non-error) response, without the guarantee that it contains the most recent write. [Partition tolerance](https://en.wikipedia.org/wiki/Network_partitioning) The system continues to operate despite an arbitrary number of messages being dropped (or delayed) by the network between nodes.

CAP theorem

wikipedia.org

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