4 ms·

This is really good progress on one of the weakest points of ChatGPT, the ability to produce meaningful calculations. By the time Bard is out, it will look so o

by epups 4y ago

This is really good progress on one of the weakest points of ChatGPT, the ability to produce meaningful calculations. By the time Bard is out, it will look so outdated it's not even funny.

dragonwriter 4y ago
> By the time Bard is out, it will look so outdated it's not even funny. There's lots of calculation tools available, and a lot of the strengths of Alpha over others in that domain are duplicative with an LLM; interfacing external systems to an LLM isn’t particularly challenging, so while ChatGPT to Alpha connection opens a lot of capability, it doesn't really widen the “how far behind” gap between ChatGPT and Bard meaningfully.
- epups 4y ago
  > interfacing external systems to an LLM isn’t particularly challenging Based on what do you say that?
  - dragonwriter 4y ago
    > Based on what do you say that? The research on both training and prompting such actions, and actually messing with implementation of the latter. (And, by “not hard”, I don’t mean “there wasn’t considerable work to figure it out”, but “its a tolerably solved problem with plug-and-go solutions that Google was among the players doing the foundational research for with earlier models”; Bard doesn't do it now by choice, not Google facing any barrier to doing it.)
    - epups 4y ago
      I'm not so sure. If it was that easy, we would also start seeing it in open source models, and Bard itself I can hardly believe is choosing not to do that.
      - dragonwriter 4y ago
        > If it was that easy, we would also start seeing it in open source models. Its mostly being done on the prompt side, either via ad hoc client code [0] or frameworks like langchain, which supports a variety of underlying models. [1] [0] Here’s one that was posted to HN wrapping the ChatGPT API before ChatGPT announced plugins, but there’s nothing special about ChatGPT to it: https://til.simonwillison.net/llms/python-react-pattern https://til.simonwillison.net/llms/python-react-pattern [1] https://langchain.readthedocs.io/en/latest/modules/agents/getting_started.html https://langchain.readthedocs.io/en/latest/modules/agents/ge...
      - ShamelessC 4y ago
        It is trivial- a matter of prompting and reading API documentation. The latter is well understood by existing developers.
deleted 4y ago
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by epups 4y ago

This is really good progress on one of the weakest points of ChatGPT, the ability to produce meaningful calculations. By the time Bard is out, it will look so outdated it's not even funny.

dragonwriter 4y ago

> By the time Bard is out, it will look so outdated it's not even funny. There's lots of calculation tools available, and a lot of the strengths of Alpha over others in that domain are duplicative with an LLM; interfacing external systems to an LLM isn’t particularly challenging, so while ChatGPT to Alpha connection opens a lot of capability, it doesn't really widen the “how far behind” gap between ChatGPT and Bard meaningfully.

epups 4y ago
> interfacing external systems to an LLM isn’t particularly challenging Based on what do you say that?
- dragonwriter 4y ago
  > Based on what do you say that? The research on both training and prompting such actions, and actually messing with implementation of the latter. (And, by “not hard”, I don’t mean “there wasn’t considerable work to figure it out”, but “its a tolerably solved problem with plug-and-go solutions that Google was among the players doing the foundational research for with earlier models”; Bard doesn't do it now by choice, not Google facing any barrier to doing it.)
  - epups 4y ago
    I'm not so sure. If it was that easy, we would also start seeing it in open source models, and Bard itself I can hardly believe is choosing not to do that.
    - dragonwriter 4y ago
      > If it was that easy, we would also start seeing it in open source models. Its mostly being done on the prompt side, either via ad hoc client code [0] or frameworks like langchain, which supports a variety of underlying models. [1] [0] Here’s one that was posted to HN wrapping the ChatGPT API before ChatGPT announced plugins, but there’s nothing special about ChatGPT to it: https://til.simonwillison.net/llms/python-react-pattern https://til.simonwillison.net/llms/python-react-pattern [1] https://langchain.readthedocs.io/en/latest/modules/agents/getting_started.html https://langchain.readthedocs.io/en/latest/modules/agents/ge...
    - ShamelessC 4y ago
      It is trivial- a matter of prompting and reading API documentation. The latter is well understood by existing developers.

deleted 4y ago

[deleted]