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sandkoan
searching Neon…
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10 ms
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1.
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by
sandkoan
1y ago
DeepMind.
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by
sandkoan
2y ago
See https://musiccontrolnet.github.io/web/
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by
sandkoan
2y ago
sudo !!
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by
sandkoan
3y ago
Ilya says this here: https://www.youtube.com/watch?v=AKMuA_TVz3A
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New Funding from Andreessen Horowitz
(quorablog.quora.com)
5 points
by
sandkoan
3y ago
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1 comments
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by
sandkoan
3y ago
For anyone else interested, the paper he's referring to is "The Reversal Curse": https://arxiv.org/abs/2309.12288 .
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by
sandkoan
3y ago
For anyone who's curious, the paper in question, entitled, "Lost in the Middle: How Language Models Use Long Contexts" ( https://arxiv.org/abs/2307.03172 )
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by
sandkoan
3y ago
This is part of what we're doing at Automorphic. Building shareable, stackable adapters that you can compose like lego bricks.
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by
sandkoan
3y ago
This is what we did at Trex ( https://github.com/automorphic-ai/trex ). The tricky part is doing it quickly and efficiently.
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by
sandkoan
3y ago
Also using a similar method: https://github.com/automorphic-ai/trex Playground: https://automorphic.ai/playground
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by
sandkoan
3y ago
Relevant: Built this which generalizes to arbitrary regex patterns / context free grammars with 100% adherence and is model-agnostic — https://news.ycombinator.com/item?id=36750083
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by
sandkoan
3y ago
Yeah, then it seems we agree. I was just pointing out that it's not necessary to finetune OSS models to behave like OpenAI functions if you're able to do something similar to what we did (no tuning involved!).
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by
sandkoan
3y ago
Ahh, no, the value of this isn't as much the model as it is the infrastructure enabling structure enforcement.
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Can you beat our firewall?
(automorphic.ai)
2 points
by
sandkoan
3y ago
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by
sandkoan
3y ago
https://news.ycombinator.com/item?id=36752991
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by
sandkoan
3y ago
You wouldn't actually want to, because you'd be losing generalizability, and it's a lot of unnecessary work. I think approach #1 outlined above is the better (more cost- and time-efficient) technique—where a pretrained model
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by
sandkoan
3y ago
Ahh, I've been meaning to try FLARE—was it a marked improvement over traditional RAG?
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by
sandkoan
3y ago
Thanks for the reminder—done!
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by
sandkoan
3y ago
This is model agnostic, actually—any model on HuggingFace is compatible. So if someone wanted to run this with their own model, they could.
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by
sandkoan
3y ago
Custom LLM—hence the self-hostability.
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by
sandkoan
3y ago
Costs add up surprisingly quickly. A quote-colon-space-quote combo alone is four tokens wasted. Now scale that up....
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by
sandkoan
3y ago
https://news.ycombinator.com/item?id=36753254 Does this help clarify?
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by
sandkoan
3y ago
The prompt is given to our model as a guiding aid (a suggestion), and the cfg is used to constrain the model to generate only tokens that abide by the schema (an enforcement). That's how we ensure only valid outputs at text generation
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by
sandkoan
3y ago
We have folks playing around with it mostly through the playground / raw HTTP endpoints as opposed to the Python API. And we've got some batch jobs running, which adds further traffic.
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by
sandkoan
3y ago
Problems with OpenAI: 1) You're wasting GPT tokens on outputting JSON instead of meaningful information. 2) GPT functions won't, with absolute, 100% certainty, return JSON in the schema you want. In 1% to 3% of cases it hallucinat
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by
sandkoan
3y ago
We enable conforming to arbitrary context free grammars in addition to regex patterns, and have a bunch of speed optimizations, as well. Though it may not seem too fast right now on account of the hundreds of simultaneous requests we'r
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by
sandkoan
3y ago
Ahh, that—due to compute limitations we're forced to run a very small model that isn't as capable of converting 5'8" to inches. The larger model is, though.
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Anything Can Be a Weekend Hack
(blog.govindgnana.com)
2 points
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sandkoan
3y ago
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0 comments
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Show HN: Structured output from LLMs without reprompting
(automorphic.ai)
174 points
by
sandkoan
3y ago
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54 comments
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Words: The Programming Language for Ideas
(readymag.com)
2 points
by
sandkoan
3y ago
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0 comments
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