Sample-efficient active learning for materials informatics using integrated posterior variance

· · 来源:tutorial资讯

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However, due to modern LLM postraining paradigms, it’s entirely possible that newer LLMs are specifically RLHF-trained to write better code in Rust despite its relative scarcity. I ran more experiments with Opus 4.5 and using LLMs in Rust on some fun pet projects, and my results were far better than I expected. Here are four such projects:

Gemini can already access your Gmail, Google Drive, and other Workspace apps, and edit your Chat messages, but it couldn't see your chat history. This latest addition lets it dive deep into your work conversations to search for information that never makes it into formal documents -- from specific project details to summaries of your day's messages.

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