腾讯技术工程 (微信公众号)T2·68 pts
- Jev does not generate text but returns probability results directly for three types of tasks: option selection, rating, and statement judgment.
- Compared to mainstream LLMs which take seconds to minutes, Jev compresses the inference time for a set of judgments to the hundred-millisecond range.
- Architecturally, it retains the bidirectional understanding capability of the Transformer Encoder while removing the autoregressive generation part of the Decoder, representing a divergence in application forms of the same underlying network.