ELMo

Allen AI · 2018 · Word Vectors · USA

A to Z

A · App: No
B · Built By: Allen AI
C · CEO & Politics: Ali Farhadi — Centrist / academic
D · Date: 2018
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: Matthew E. Peters (Lead author), Luke Zettlemoyer (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, Apache 2.0)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: Ai2's ELMo, deep contextualized word representations computed from the internal states of a deep bidirectional language model pretrained on a large text corpus, capturing syntax, semantics and how word meaning shifts with context (polysemy); adding ELMo to existing models significantly improved the state of the art on six NLP tasks, including question answering, textual entailment and sentiment analysis.
S · Stock / Status: Non-profit
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: @allen_ai
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights Word Vectors from Allen AI, released 2018.

Data completeness 85% · Last verified 2026-05-12 · Primary source ↗

“ELMo.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/elmo.html