Seq2Seq LSTM

Google · 2014 · LLM · USA

A to Z

A · App: No
B · Built By: Google
C · CEO & Politics: Sundar Pichai — Centrist / historically bipartisan
D · Date: 2014
E · Expertise: Intermediate+
F · Free Tier: No free tier
G · Generates: Text only
H · Deployment: Research
I · Inputs: Text
J · Jurisdiction: USA
K · Key Staffers: Jeff Dean (Chief Scientist), Sundar Pichai (CEO Alphabet)
L · Languages: English-primary
M · Model Type: LLM
N · Safety Issues: None reported
O · Open Source: Proprietary
P · Pricing: Not sold (research model)
Q · AIDb Rating: 4/10 · AIDb v2.0 (rule-based): Capability 4/10 · Currency 4/10 · Access 7/10 · Significance 4/10 → 4.45
R · What Makes It Special: Google's sequence-to-sequence learning paper (Sutskever, Vinyals and Le, September 2014), which used one multilayer LSTM to encode an input sentence into a fixed-size vector and another deep LSTM to decode the output; on WMT'14 English-to-French it scored 34.8 BLEU, above a phrase-based system's 33.3, and 36.5 when reranking that system's top 1,000 outputs, handled long sentences well, and improved markedly when source sentences were reversed.
S · Stock / Status: $344 (GOOGL, Sep 25, 2026)
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: API only
X · X Handle: @Google
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Proprietary LLM from Google, released 2014.

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

“Seq2Seq LSTM.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/seq2seq-lstm-google.html