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takarajordan 
posted an update 17 days ago
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Super impressed with the UltraBERT team at @dmis-lab — @affjljoo3581 , @Taewhoo and Jaewoo Kang — for continuing to push encoders forward. Really impressive work!

I knocked up an MoE version on a single A100, entirely for fun: UltraBERT-Embed-MoE-8x.

8 experts per routed layer, 2 active per token. Works pretty well in my small retrieval tests!

Huge credit to the original team for making this possible.

Original: dmis-lab/UltraBERT-Embed-150M
MoE: takarajordan/UltraBERT-Embed-MoE-8x
alielfilali01 
posted an update about 2 months ago
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631
multi-agents orchestration is old news by now. Try multi-teams of agents ! that is a whole different nightmare ... This is the real signal about the sparks of AGI.
alielfilali01 
authored a paper 3 months ago
alielfilali01 
posted an update 6 months ago
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870
Plans in HTML > Plans in Markdown
takarajordan 
posted an update 10 months ago
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At takara I'm constantly reading papers, I wonder if anyone can train a model to predict popular papers on our dataset?

takara-ai/daily-papers-popularity
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takarajordan 
posted an update 12 months ago
takarajordan 
posted an update 12 months ago
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3,214
Two weeks ago I had an engaging discussion with locals in Cockermouth about AI and the broader industry, a reminder that hearing candid perspectives beyond our professional circles is invaluable and something anyone working full-time in this field should make time for.

Thank you!
takarajordan 
posted an update about 1 year ago
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🌞 LOVABLE IS CRACKED

Built a golden hour tracker in under 15 minutes with Lovable: uses your phone’s Geolocation API, the SunCalc library, and runs fully client-side with no servers. https://goldenhour.404missing.link
takarajordan 
posted an update about 1 year ago
takarajordan 
posted an update about 1 year ago
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2,646
Are we really back to storing access tokens in plain text again?
{
  "mcpServers": {
    "hf-mcp-server": {
      "url": "https://huggingface.co/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_HF_TOKEN>"
      }
    }
  }
}

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takarajordan 
posted an update about 1 year ago
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3,044
I'm currently looking into what makes a scientific paper more popular than others on a platform like Hugging Face. I conducted a huge array of tests, content length, time based information even semantic feature extraction to get to some sort of answer around...

What actually drives popularity of these papers, why do some papers get zero upvotes and why do some get thousands?

The answer is absolutely nothing. Yes that's right. Nothing about the actual paper itself drives popularity, the paper's popularity is driven by external factors like it's authors, external marketing and others.

So next time you see a research paper with a lot of upvotes, just remember it's not because of the efforts of the authors. Remain objective.
takarajordan 
posted an update about 1 year ago
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251
cron + LLM api is cracked
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takarajordan 
posted an update over 1 year ago
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What do you all actually think about the open source OpenAI models? Are they legitimately any good or are they hype?
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alielfilali01 
authored a paper over 1 year ago
aldigobbler 
posted an update over 1 year ago
takarajordan 
posted an update over 1 year ago
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390
Cool to see the new model lightonai/Reason-ModernColBERT

Made with late interaction I'd love to recreate the dataset to see a proper apache 2.0 version!
alielfilali01 
posted an update over 1 year ago
takarajordan 
posted an update over 1 year ago
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649
🎌 Two months in, https://github.com/takara-ai/go-attention has passed 429 stars on GitHub.

We built this library at takara.ai to bring attention mechanisms and transformer layers to Go — in a form that's lightweight, clean, and dependency-free.

We’re proud to say that every part of this project reflects what we set out to do.

- Pure Go — no external dependencies, built entirely on the Go standard library
- Core support for DotProductAttention and MultiHeadAttention
- Full transformer layers with LayerNorm, feed-forward networks, and residual connections
- Designed for edge, embedded, and real-time environments where simplicity and performance matter

Thank you to everyone who has supported this so far — the stars, forks, and feedback mean a lot.
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takarajordan 
posted an update over 1 year ago
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AI research over coffee ☕️
No abstracts, just bullet points.
Start your day here: https://tldr.takara.ai
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takarajordan 
posted an update over 1 year ago
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1,885
Takara takes 3rd place in the {tech:munich} AI hackathon with Fudeno!

A little over 2 weeks ago @aldigobbler and I set out to create the largest MultiModal SVG dataset ever created, we succeeded in this and when I was in Munich, Germany I took it one step further and made an entire app with it!

We fine-tuned Mistral Small, made a Next.JS application and blew some minds, taking 3rd place out of over 100 hackers. So cool!

If you want to see the dataset, please see below.

takara-ai/fudeno-instruct-4M