1 code implementation • 6 Dec 2023 • Kan Hatakeyama-Sato, Yasuhiko Igarashi, Shun Katakami, Yuta Nabae, Teruaki Hayakawa
Through additional training, we explore embedding specialized scientific knowledge into the Llama 2 Large Language Model (LLM).
no code implementations • 16 May 2021 • Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida, Yasuhiko Igarashi, Masato Okada
Teacher-student learning is a framework in which we introduce two neural networks: one neural network is a target function in supervised learning, and the other is a learning neural network.
no code implementations • 7 Jul 2017 • Yasuhiko Igarashi, Hikaru Takenaka, Yoshinori Nakanishi-Ohno, Makoto Uemura, Shiro Ikeda, Masato Okada
By collecting the results of exhaustively computing ES-K, various approximate methods for selecting sparse variables can be summarized as density of states.