GloVe
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A to Z
- A · App
- No
- B · Built By
- Stanford
- C · CEO & Politics
- N/A (academic research) — No public partisan activity documented
- D · Date
- 2014
- 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
- Jeffrey Pennington (Lead author), Richard Socher (Co-author), Christopher D. Manning (Senior author)
- L · Languages
- English-primary
- M · Model Type
- Word Vectors
- N · Safety Issues
- None reported
- O · Open Source
- Yes — open weights
- P · Pricing
- Free (open weights, public domain PDDL; code Apache 2.0)
- Q · AIDb Rating
- [UNKNOWN]
- R · What Makes It Special
- GloVe (Global Vectors for Word Representation), the unsupervised algorithm by Stanford's Jeffrey Pennington, Richard Socher and Christopher Manning that learns word vectors from aggregated global word-word co-occurrence statistics, so vector differences capture relationships such as man and woman or king and queen. Stanford offers the code under Apache 2.0 and pretrained vectors under the public-domain PDDL, from Wikipedia, Gigaword, Common Crawl and Twitter, plus 2024 vectors trained on Dolma.
- S · Stock / Status
- University
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- Downloadable
- X · X Handle
- @StanfordAILab
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Open-weights Word Vectors from Stanford, released 2014.
Data completeness 85% · Last verified 2026-05-12 · Primary source ↗
Cite this
“GloVe.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/glove.html