近年来，尽管大语言模型（LLMs ）在规模和性能上取得显著进展，其本质仍是静态系统——一旦预训练结束，参数即固定不变，无法持续学习或积累新知识。目前，LLMs ...

“Transformer完全不能支撑我们下一步，尤其是在Agent时代走向下一步。”12月18日，90后AI大牛、阶跃星辰首席科学家张翔雨公布了自己最新的研究结论，直指当前AI领域核心架构Transformer的技术瓶颈。 Transformer架构是当前人工智能，特别是生成式AI和大语言模型的基石。它是2017 年由谷歌团队在论文《Attention Is All ...

Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works?

We dive deep into the concept of Self Attention in Transformers! Self attention is a key mechanism that allows models like ...

LOS ALAMOS, N.M., Oct. 10, 2022 — An artificial-intelligence approach borrowed from natural-language processing — much like language translation and autofill for text on your smart phone — can predict ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...