Buoy

6 ms·

1.
You Don't Need RAG – OpenAI Finetuning Technique(cosine.sh)
3 points by Buoy 3y ago|1 comments
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by Buoy 4y ago
The next two languages are Go and Ruby as it happens! We need to make some changes based on learnings from the launch today first but it’s relatively easy for us to implement these new languages
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by Buoy 4y ago
Thanks! It’s much harder to implement that’s for sure but I totally agree that it’s a great way to interact, being able to and follow up messages and clarify things is really great
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by Buoy 4y ago
Thanks for flagging - will get this fixed! For reference the paper is here: https://arxiv.org/abs/2212.10496
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by Buoy 4y ago
Thank you very much! Released an article yesterday on my tips for the ChatGPT API if you haven’t already seen it!
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by Buoy 4y ago
Not currently, I think jetbrains is definitely next in terms of priority but I think as per some suggestions on here and on Twitter we may end up releasing our headless API to allow people to build their own integrations - need to hire some
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by Buoy 4y ago
I’ve heard a few reports of slow indexing, it may be load related but I need to investigate further (on a flight currently so will look when I land), if you’re happy to drop me a line on ali@buildt.ai and I’ll try to help figure this out!
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by Buoy 4y ago
Yes we’ve definitely considered this as an option, we’ll hopefully be able to explore it more when we have more dev resource in the next few months (just my cofounder and I working on the tech currently). I think it makes a lot of sense to
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by Buoy 4y ago
This may be load related - very happy to provide support on your issue if you can drop me a line at ali@buildt.ai
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by Buoy 4y ago
Interesting suggestion, the extension itself is actually a React project that runs in VS Code so not much uplift would be required but we’d have to figure out how we’d actually interact with the codebase in that instance
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by Buoy 4y ago
Hey, thank you for the feedback - are you unable to get beyond the sign in point? If you could drop me a line on ali@buildt.ai I’ll gladly try to sort this out for you!
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by Buoy 4y ago
Yes we do in the medium term, we fortunately built the product in a modular/headless way so adding further integrations is easier, although we're strapped for dev resource currently so once that problem is alleviated then we can s
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Launch HN: Buildt (YC W23) – Conversational semantic code search
123 points by Buoy 4y ago|42 comments
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by Buoy 4y ago
No the public API is limited to 4k tokens for the time being, although it seems that a longer context window version is in the works
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I got early access to ChatGPT API – here’s what you need to know(buildt.ai)
5 points by Buoy 4y ago|3 comments
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Custom Embeddings: Why going viral caused us to rip out everything in a weekend(buildt.ai)
96 points by Buoy 4y ago|31 comments
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by Buoy 4y ago
I'd suggest you try on 10k examples or more (variety is key ofc) and see how you get on!
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by Buoy 4y ago
Glad to know that's what it's called! For avoidance of any doubt I'm not trying to claim I 'discovered' any of this - just wanted to share some useful learnings :D
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by Buoy 4y ago
We've had some demand for this, if there's enough we'll definitely consider it when we hire more engineering resource, which is the current constraining factor
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by Buoy 4y ago
Yes definitely give this a go, for us with our use case davinci is prohibitively expensive in production so we literally cannot use it given the number of requests we make - interestingly I saw some OpenAI documentation the other day at the
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by Buoy 4y ago
Thanks - we used to use a bunch of k-shot prompts (particularly with our previous idea before we pivoted when we got into YC), but with the davinci model we were sending ~3.5k tokens per invocation, which in the long term was costing far mo
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by Buoy 4y ago
Definitely give them a go, we use fine-tuned ada a bunch for classification work for example; I personally think the smaller models are overlooked and don't get enough love - if OpenAI increased the context window of a model like babba
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by Buoy 4y ago
Yep, that was the aim, I'm just trying to put some stuff out there that helped us out!
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Use GPT-3 incorrectly: reduce costs 40x and increase speed by 5x(buildt.ai)
295 points by Buoy 4y ago|45 comments
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Three LLM tricks that boosted embeddings search accuracy by 37%(buildt.ai)
5 points by Buoy 4y ago|2 comments
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by Buoy 4y ago
Embeddings have been the talk of the town, but their stock implementation can be made better very easily.