SenseChat

Training compute

3.9×10²⁴ FLOP

Parameters

180B

Published

Apr 10, 2023

SenseChat is an AI model developed by SenseTime (Hong Kong), first published in April 2023. It works in the language domain, on tasks such as chat and language modeling/generation. It counts among the frontier models: the systems trained with the most compute of their moment.

Training it took an estimated 3.9×10²⁴ FLOP of compute (estimation method: hardware). The model has 180,000,000,000 parameters. The compute alone is estimated at $5M in 2023 dollars.

Access: API access. Its weights are not openly released. Epoch AI rates the confidence of this record as speculative.

Full record

Organization: SenseTime
Country of organization: Hong Kong
Domain: Language
Task: Chat, Language modeling/generation
Training compute: 3.9×10²⁴ FLOP
Compute estimation method: Hardware
Parameters: 180,000,000,000
Training cost (2023 USD): $5M
Model accessibility: API access
Open weights: No
Epoch confidence: Speculative