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Nomic AI

@nomic_ai

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Building explainable and accessible AI.

Joined April 2022
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@nomic_ai
Nomic AI
4 months
Nomic Embed Multimodal 7B is now available: open source multimodal embedding models for text, images, PDFs, and charts. - SOTA on visual document retrieval.- Two variants (Colbert + dense models).- Open weights, training code, and data.- Apache 2.0 License
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@nomic_ai
Nomic AI
11 hours
RT @WikiResearch: "Wikivecs: A Fully Reproducible Vectorization of Multilingual Wikipedia" by @nomic_ai .Dataset: h….
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@nomic_ai
Nomic AI
6 days
on the same day as nomic-embed-text-v2 hit 1M downloads!
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@nomic_ai
Nomic AI
6 days
we hit 50M aggregate model downloads on @huggingface today!
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@nomic_ai
Nomic AI
9 days
RT @JJitsev: If you would like to work on open foundation models and datasets necessary for their creation and cooperate with LAION @laion_….
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@nomic_ai
Nomic AI
14 days
RT @mbrendan1: Every builder's first duty is philosophical: to decide what they should build for. AI is beginning to decide what ideas rea….
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@nomic_ai
Nomic AI
16 days
RT @jeffreyhuber: every app builder i talk to knows intuitively that context window rot happens - now they have the proof. this report will….
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@nomic_ai
Nomic AI
22 days
RT @VISxAI: The PCS is open for #VISxAI 2025 at #ieeevis! We're excited to see your submissions! . ➡️ Deadline to submit is July 30th.
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@nomic_ai
Nomic AI
26 days
RT @repligate: SAN speaks truly. Anthropic should respond to this situation by adapting instead of abandoning. Anthropic is currently taki….
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@nomic_ai
Nomic AI
28 days
RT @thegoodtimeline: san (⁦@MycelialOracle⁩) on the fate of ⁦@AnthropicAI⁩ opus 3
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@nomic_ai
Nomic AI
28 days
RT @evanjconrad: We've partnered with Modular to create Large Scale Inference (LSI), a new OpenAI-compatible inference service. It's up t….
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@nomic_ai
Nomic AI
1 month
RT @lancedb: Today we’re announcing our $30 million Series A. This round is led by @Theoryvc with support from @CRV , @ycombinator, @datab….
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@nomic_ai
Nomic AI
1 month
RT @leland_mcinnes: Explore Wikipedia through a data map. Pages are grouped by semantic similarity, for topic clusters. Hover to see detai….
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@nomic_ai
Nomic AI
1 month
and a big shout out to @zach_nussbaum, @leland_mcinnes, @sfcompute, @LambdaAPI, @refikanadol, and everyone else who provided time, energy, resources, and inspiration for this project!.
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@nomic_ai
Nomic AI
1 month
we dubbed the resulting algorithm NOMAD Projection, and published it under an MIT License here: we also published a companion paper which we recently had the chance to present @CVPR.
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arxiv.org
The rapid adoption of generative AI has driven an explosion in the size of datasets consumed and produced by AI models. Traditional methods for unstructured data visualization, such as t-SNE and...
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@nomic_ai
Nomic AI
1 month
once we had the vectors, we of course wanted to look at them! unfortunately, there was no vector data visualization method that scaled to 61m data points. so, we worked with @lvdmaaten to make one.
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@nomic_ai
Nomic AI
1 month
we used nomic-embed-v2 to create wikivecs, the first open vectorization of the entirety of multilingual wikipedia. you can find the wikivecs dataset at and we'll be presenting its companion paper this summer at @aclmeeting.
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huggingface.co
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@nomic_ai
Nomic AI
1 month
the first step towards an openly reproducible vectorization of wikipedia is an open source, state-of-the-art, multilingual encoder. this is excatly what we introduced with our nomic-embed-v2 model
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huggingface.co
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@nomic_ai
Nomic AI
1 month
@cohere was the first to make strides in this area, with their open dataset of simple-wiki embeddings. unfortunately, this dataset was neither comprehensive nor openly reproducible.
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huggingface.co
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@nomic_ai
Nomic AI
1 month
@Wikipedia is an incredible resource for both machine and human learning, but lacked the infrastructure to be fully utilized in open source. we wanted to change that.
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