We automate tedious tasks. YC W23.
Joined January 2023
- Tweets 15
- Following 66
- Followers 130
- Likes 23
3 Photos and videos
Pyq AI retweeted
29 Mar 2024
You know what the biggest problem with pushing all-things-AI is? Wrong direction.
I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes.
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Are you thinking about building your own LLM? Here's why you should (or shouldn't).
pyqai.com/blog/why-organizat…
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Pyq AI retweeted
5 Apr 2023
optimize time to value: make sure users reach the “aha moment” in as little time & with as little effort as possible
@pyq_ai achieves this with their interactive model zoo 🦙
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Catch our co-founder and CTO, @emilycertified, who will be speaking at the #CerebralValley AI Summit tomorrow! More details here: program.cerebralvalleysummit…
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Pyq AI retweeted
2 Mar 2023
Quack quack
2 Mar 2023
Welcome to YC, @alexandraj777, Georgia, and @RubberDuckyLabs!
Rubber Ducky Labs helps e-commerce companies avoid tone-deaf product recs — like featuring ski jackets in June. It works by combining ML human expertise to recommend the best products.
ycombinator.com/launches/Hyi…
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Pyq AI retweeted
20 Feb 2023
here's what i've got so far:
📧 emails: resend.com
🔑 secrets management: @infisical
🤖 mlops: @pyq_ai
... and as usual, it's a simple @supabase @nextjs @vercel stack ⚡️
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Recommender systems fans - go check this out!
8 Feb 2023
Stop recommending ski jackets in June! Rubber Ducky Labs (@ycombinator W23) builds better recommender systems with ML human expertise, and it's bring-your-own-model.
🙏 Looking to meet other folks working on recommender systems - intros appreciated!
ycombinator.com/launches/Hyi…
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Recently launched 🚀 @pyq_ai makes it easy for developers to build features powered by AI.
💻 MLOPs Made Easy
💰 Scale at a Reasonable Price
💪 Designed for big models
Founded by @araghuvanshi2 & Emily Dorsey backed by @ycombinator (W23)
tryfondo.com/blog/pyq-launch…
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More I use flan-t5, more I realize Google has given us something very powerful
Best to think of it as a smaller model that can be specialized, won't do everything out of the box
Training multiple flan-t5s and coordinating them for a larger task is the way
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