Google DeepMind releases Gemma 4: open-source AI runs locally - NewsBytes
Google DeepMind releases Gemma 4: open-source AI runs locally NewsBytes
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J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling
arXiv:2407.15828v2 Announce Type: replace-cross Abstract: Spoken dialogue is essential for human-AI interactions, providing expressive capabilities beyond text. Developing effective spoken dialogue systems (SDSs) requires large-scale, high-quality, and diverse spoken dialogue corpora. However, existing datasets are often limited in size, spontaneity, or linguistic coherence. To address these limitations, we introduce J-CHAT, a 76,000-hour open-source Japanese spoken dialogue corpus. Constructed using an automated, language-independent methodology, J-CHAT ensures acoustic cleanliness, diversity, and natural spontaneity. The corpus is built from YouTube and podcast data, with extensive filtering and denoising to enhance quality. Experimental results with generative spoken dialogue language m
Common research advice #2: say precisely what you want to say
Written as part of the Inkhaven Residency program . As previously mentioned, research feedback I give to more junior research collaborators tends to fall into one of three categories: Doing quick sanity checks Saying precisely what you want to say Asking why one more time In each case, I think the advice can be taken to an extreme I no longer endorse. Accordingly, I’ve tried to spell out the degree to which you should implement the advice, as well as what “taking it too far” might look like. I talked about doing quick sanity checks in a previous piece . Here, I talk about the second piece of advice: saying precisely what you want to say. Saying precisely what you want to say The second most common feedback is that you should write down precisely what you want to express. One of the most co
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