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kiko.io
| | peter.czanik.hu
10.9 parsecs away

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| | From now on, as I want to reach as many as possible, you can also read sudo and syslog-ng news from me on Mastodon. You can find my account at: https://fosstodon.org/@PCzanik Mastodon is a decentralized network of servers. I chose a server called "Fosstodon" as it is focused on open source software. Some of the projects I participate in are already there: BastilleBSD and openSUSE. As usual, next to my usual syslog-ng and sudo posts, you will also sometimes hear from me about OpenPOWER and ARM with some occasional photos from my hiking trips :-)
| | anaulin.org
8.8 parsecs away

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| | pauljacobson.me
7.5 parsecs away

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| | Nilay Patel interviewed Mastodon's creator, Eugen Rochko recently. Listening to Rochko reinforces Mastodon's importance to me, and why a distributed and open social network like this is so important both today and in the foreseeable future. I recommend listening to the interview and/or reading the transcript.
| | isthisit.nz
48.8 parsecs away

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| August 2024 Update: Now a solved problem. Use Structured Outputs. Large language models (LLMs) return unstructured output. When we prompt them they respond with one large string. This is fine for applications such as ChatGPT, but in others where we want the LLM to return structured data such as lists or key value pairs, a parseable response is needed. In Building A ChatGPT-enhanced Python REPL I used a technique to prompt the LLM to return output in a text format I could parse.