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Word2Vec (large)

Google · 2013 · Embeddings · USA

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A to Z

A · App
No
B · Built By
Google
C · CEO & Politics
Sundar Pichai — Centrist / historically bipartisan
D · Date
2013
E · Expertise
Intermediate+
F · Free Tier
Yes
G · Generates
Text only
H · Deployment
Cloud + Local (open weights)
I · Inputs
Text
J · Jurisdiction
USA
K · Key Staffers
Jeff Dean (Chief Scientist), Sundar Pichai (CEO Alphabet)
L · Languages
English-primary
M · Model Type
Embeddings
N · Safety Issues
None reported
O · Open Source
Yes — open weights
P · Pricing
Free (open weights, Apache 2.0)
Q · AIDb Rating
5/10 · AIDb v2.0 (rule-based): Capability 4/10 · Currency 4/10 · Access 10/10 · Significance 4/10 → 4.90
R · What Makes It Special
Google's word2vec research (Mikolov, Chen, Corrado and Dean, 2013), which proposed two efficient architectures, continuous bag-of-words (CBOW) and continuous skip-gram, for learning vector representations of words from very large data sets; they beat earlier neural-network methods on word similarity at much lower computational cost, learning high-quality vectors from a 1.6-billion-word data set in under a day, with state-of-the-art results on syntactic and semantic similarity tests.
S · Stock / Status
$344 (GOOGL, Sep 25, 2026)
T · Training Cutoff
[UNKNOWN]
U · Users
[UNKNOWN]
V · Voice Chat
No
W · Weights
Downloadable
X · X Handle
@Google
Y · Year Founded
[UNKNOWN]
Z · Bottom Line
Open-weights Embeddings from Google, released 2013.

Data completeness 88% · Last verified 2026-06-11 · Primary source ↗

Cite this

“Word2Vec (large).” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/word2vec-large-google.html

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