Vision Encoder Decoder Inference With Transformer Decoding

via “autoregressive text generation with transformer decoder architecture”

text-generation model by undefined. 70,29,937 downloads.

Unique: OPT uses a standard transformer decoder architecture with no architectural innovations, but distinguishes itself through permissive licensing (OPL) and transparent training methodology documented in arxiv:2205.01068, enabling reproducible research without commercial restrictions unlike GPT-3/4

vs others: Smaller and faster to run than GPT-2 (1.5B) with similar quality, but lacks instruction-tuning of Alpaca/Vicuna and safety alignment of InstructGPT, making it better for research baselines than production chatbots