AT
AT&T
Language model · United States ·Jun 2002

Tagging via Viterbi Decoding

Language Proprietary

About Tagging via Viterbi Decoding

Tagging via Viterbi Decoding is an AI model developed by AT&T, in the language category, released in 2002, made available as a proprietary (API-only) model.

On this page you'll find Tagging via Viterbi Decoding's full specifications. Review provider pricing and benchmark scores below, or compare Tagging via Viterbi Decoding head-to-head with other language models.

→ More models by AT&T → All language models → AI benchmarks leaderboard

Links

Announcement ↗

Community

Would you run Tagging via Viterbi Decoding again?
No votes yet — be the first.
Did it run? — community reports by hardware

No reports yet. Own this model on some hardware? Be the first to confirm it runs.

Discussion

No comments yet. Start the discussion.

More models like Tagging via Viterbi Decoding

AI
DMind-1
 AI
COLLECTIVE-1
 AI
Cogito 1 series
 AI
Euler (Euler大模型)
· 2.5B
 AI
SmolLM-1.7B
· 1.7B
 AI
Llama-3-70B-Synthia-v3.5
· 70B

Frequently asked questions

What is Tagging via Viterbi Decoding? ▶

Tagging via Viterbi Decoding is an AI model developed by AT&T, in the language category, released in 2002. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Tagging via Viterbi Decoding? ▶

Tagging via Viterbi Decoding was developed by AT&T and released in 2002.

Is Tagging via Viterbi Decoding open source or proprietary? ▶

Tagging via Viterbi Decoding is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does Tagging via Viterbi Decoding cost? ▶

Pricing for Tagging via Viterbi Decoding depends on the provider. See the providers table on this page for the latest API rates.

How does Tagging via Viterbi Decoding perform on benchmarks? ▶

Benchmark scores for Tagging via Viterbi Decoding are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

No videos yet. Know a good one? Add it below.

Know a great video about Tagging via Viterbi Decoding?