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nate_nowackon Introduction to AT Protocol

yea i dont think there's any blocker from a protocol perspective, im just saying i'd love to see it happen. adoption for sure among the largest hurdles id guess

nate_nowackon Introduction to AT Protocol

would love fb marketplace disruptor on atproto

nate_nowackon smartfunc: Turn Docstrings into LLM-Functions

yea its a popular DX at this point: https://blog.alternatebuild.dev/marvin-3x/

nate_nowackon Smartfunc: Turn Docstrings into LLM-Functions

no https://bsky.app/profile/alternatebuild.dev/post/3lg5a5fq4dc...

nate_nowackon Show HN: Fructose – LLM calls as strongly typed functions

yeah this seems to be pretty much the same interface as `fn` from marvin, except w/o pydantic (see https://github.com/PrefectHQ/marvin?tab=readme-ov-file#-buil...)

nate_nowackon Show HN: Fructose – LLM calls as strongly typed functions

as with marvin, you can just swap the base url and use any of the oss proxy libs that clone the openai api (but since they don't do function calling [except for mistral i think], its not as good afaik)

nate_nowackon Show HN: Marvin – build AI functions that use an LLM as a runtime

hi, just seeing this!

you're correct that normal chatgpt wouldn't crawl the URL, but ai_fns can have plugins like the DuckDuckGo plugin / VisitURL plugin which can be invoked by the underlying Bot if it decides its helpful to its answer

for example: https://gist.github.com/zzstoatzz/a16da0594afc2bb751428907e4...

feel free to try it yourself :)

nate_nowackon Show HN: Marvin – build AI functions that use an LLM as a runtime

interesting! I hadn't seen that before

ai_fn is just a specific way to use Marvin's Bot abstraction, which is one of the few abstractions Marvin offers

but a couple differences I notice off the bat between ai_fn and com2fun:

- marvin uses pydantic for parsing LLM to result types

- you can pass plugins/personality/instructions to the underlying bot via the @ai_fn decorator kwargs

- (unless I'm missing a dataclass version of this in com2fun) marvin can parse output into arbitrary pydantic types like this example https://github.com/PrefectHQ/marvin/issues/106#issuecomment-...

nate_nowackon Show HN: Marvin – build AI functions that use an LLM as a runtime

Hi!

This example was produced using GPT 3.5 turbo, where yes, the LLM does not always align ideally. I used 3.5 for the example since that's Marvin's default and I know many people wouldn't have gpt4 access yet (which is significantly better at following instructions) - didn't want to set a misleading expectation.

that said, my instructions for the bot in this example certainly could have been more precise :) for a more real example, you could check out the other example (which works pretty well on 3.5) https://github.com/PrefectHQ/marvin/blob/main/examples/load_...