Daniel Wasmus Profile
Daniel Wasmus

@danielwsms

Followers
72
Following
7K
Media
2
Statuses
33

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Joined May 2024
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@shadcn
shadcn
5 days
Introducing shadcn/create – Build your own shadcn/ui Customize Everything. Pick your component library, icons, base color, theme, fonts and build something that doesn’t look like everything else. Now available for Next.js, Vite, TanStack Start and v0.
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@base_ui
Base UI
6 days
Introducing Base UI v1 ✔︎ 35 unstyled UI components ✔︎ New npm package (base-ui/react) ✔︎ New website ✨ ✔︎ Configurable, composable, customizable ✔︎ Accessible, based on ARIA + WCAG https://t.co/HHGtrMZZLy
base-ui.com
Unstyled UI components for building accessible web apps and design systems.
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@joeldierkes
Joel Dierkes
30 days
> be me, go to SF > never did a hackathon before > find the context engineering one from @Theoryvc > claude code yolo with Mixedbread > won > have a new PC
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@mattpocockuk
Matt Pocock
1 month
One question I get endlessly is: "I want to customize an LLM. Do I need to train my own model?" No. Repeat after me: The system is JUST AS IMPORTANT as the model.
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@leerob
Lee Robinson
1 month
I've heard people say "grep is all you need" for coding agents, so this research was 🤯 for me. Every single model was better with grep + semantic search!
@cursor_ai
Cursor
1 month
Semantic search improves our agent's accuracy across all frontier models, especially in large codebases where grep alone falls short. Learn more about our results and how we trained an embedding model for retrieving code.
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@cursor_ai
Cursor
1 month
Semantic search improves our agent's accuracy across all frontier models, especially in large codebases where grep alone falls short. Learn more about our results and how we trained an embedding model for retrieving code.
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@danielwsms
Daniel Wasmus
2 months
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@danielwsms
Daniel Wasmus
2 months
Mixedbread makes image search feel like magic. No keyword labeling, no manual annotation. Describe what you are looking for and instantly find it.
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@danielwsms
Daniel Wasmus
2 months
> be me > work on stuff > email from @vercel alerts > :attention mode: > check traffic source > art demo got featured in a newsletter > :calm mode: Whoever cooked the alerts. Amazing work.
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@rikiyatakehi
Rikiya Takehi
2 months
There is no reason to not use this. It’s easy free lunch🥪
@mixedbreadai
Mixedbread
2 months
Better Projection Variants Improve ColBERT We introduce a rare free lunch: a tiny architectural modification that improves ColBERT performance across the board, without any real tradeoffs. The modification? Better final projections than the currently used linear projection.
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@mixedbreadai
Mixedbread
2 months
One More (Small) Thing: Introducing mxbai-colbert-edge-v0 17M and 32M. They are are the result of an easily reproducible way to train ColBERT models from scratch. They're strong, too: the 17M variant would rank first on the LongEmbed leaderboard for models under 1B parameters.
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@mixedbreadai
Mixedbread
2 months
Better Projection Variants Improve ColBERT We introduce a rare free lunch: a tiny architectural modification that improves ColBERT performance across the board, without any real tradeoffs. The modification? Better final projections than the currently used linear projection.
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@danielwsms
Daniel Wasmus
2 months
> use mixedbread > upload thousands of files via cli > start searching in minutes > look inside > its multimodal > its multilingual > :happy:
@brickywhat
Erika⚡️⚡️
2 months
No dude all you have to do is put all 25M of your company PDFs and files through a document API then put them in a Vector DB then use RAG to find things and feed them to a custom fine tuned LLM sandbox and you’ll be able to ask it questions. It’s AI bro.
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@nainglk
Naing Linn Khant
2 months
You can now add AI Search to your @astrodotbuild Starlight 🌟 documentation "With Mixedbread, search results instantly felt more relevant, contextually accurate, and tailored to the query that the user entered." - @imax153(@EffectTS_) Read our guide how you can get started 👇
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@danielwsms
Daniel Wasmus
2 months
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