Viewing profile — eborgnia
eborgnia
HN member- Joined
- Wed, Oct 12, 2022, 10:04 PM UTC
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About eborgnia
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Recent public activity
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Comment #45754742
How do you expect it to be priced? We do give discounts for high volume users.
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Comment #45752829
Hey, happy to answer! The manual evals we did showed that both morph-v3-fast and morph-v3-large had significantly more smoothing and hallucination behaviors. It's hard to know for …
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Comment #44113047
Glad it's working out -- thanks for the support :)
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Comment #44112571
The diffusion approach is really interesting -- it's something we haven't checked out for applying edits just yet. It could work quite well though! You can definitely use it for ma…
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Comment #44112565
Haha, we think of "vibe-coded codebases" as codebases produced by nontechnical users that are using an AI tool
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Comment #44111217
Adding extra structural information about the codebase is an avenue we're actively exploring. Agentic exploration is a structure-aware system where you're using a frontier model (C…
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Comment #44111121
Happy to collaborate, shoot us an email at info@relace.ai :)
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Comment #44109742
Hey, these are really interesting points. The question of agentic discovery vs. one-shot retrieval is really dependent on the type of product. For Cline or Claude Code where there'…
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Comment #44109670
Cline orchestrates all the models under the hood, you could use our apply model with Cline. Not sure what model they are using for that feature right now
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Comment #44109659
We trained it on over a dozen languages, with a bias towards Typescript and Python. We've seen it work on Markdown pretty well, but you could try it on plaintext too -- curious to …
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Comment #44109484
Open source git repos are a really good place to get data -- it requires a lot of munging to get it into a useful format, but that's the name of the game with model training. It's …
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Comment #44109442
Hey, really appreciate the detailed sign up journey here! Getting the simplest flow is hard, and it's something we obsess over. The docs have been a work in progress for the past c…
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Comment #44109005
We have a few benchmarks on docs.relace.ai in the model overview sections. Any ideas on other benchmarks you'd like to see are welcome though
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Comment #44108989
Thanks for the support!
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Comment #44108467
Thank you :) Please do reach out, we love talking to builders in this space & would love to share notes & give you free access. eborgnia@relace.ai
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Comment #44108460
Hey -- good question! We're focused on a narrower task right now that aims to save frontier tokens (both input & output). Our merge + retrieval models are simply smaller LLMs that …
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Launch HN: Relace (YC W23) – Models for fast and reliable codegen
Hey HN community! We're Preston and Eitan, and we're building Relace ( https://relace.ai ). We're trying to make building code agents easy and cheap. Here’s an example of our apply…