@j5b.bsky.social
ML & NLP at Google DeepMind
The Gemini 2.5 Technical Report is out: storage.googleapis.com/deepmind-med...
17.06.2025 20:09 — 👍 9 🔁 2 💬 0 📌 0
🥁Introducing Gemini 2.5, our most intelligent model with impressive capabilities in advanced reasoning and coding.
Now integrating thinking capabilities, 2.5 Pro Experimental is our most performant Gemini model yet. It’s #1 on the LM Arena leaderboard. 🥇
We’ve been teaching Gemini to think.
Try it here: aistudio.google.com/prompts/new_...
Happy birthday Gemini!
06.12.2024 22:10 — 👍 14 🔁 1 💬 0 📌 0📢We release Tülu 3, a family of fully-open state-of-the-art post-trained models, alongside its data, code, and training recipes, serving as a comprehensive guide for modern post-training techniques!
21.11.2024 17:29 — 👍 59 🔁 7 💬 2 📌 1Good software is an enabler for good science! 💥🧪
Inspired by the below post, I like to point people at libraries like github.com/patrick-kidg... as a template for what a modern Python library looks like: `pre-commit`, ruff, pyright, pyproject.toml, an open-source license, etc. 🤓
Fun, insightful, useful, cheap: Thinking Like A Large Language Model: Become an AI manager a.co/d/7xMTtJM
17.11.2024 17:04 — 👍 0 🔁 1 💬 0 📌 0
A comparison of LLMs mean rating average in presentational and epistemological dimensions.
We compared notable LLMs such as InstructGPT, ChatGPT, GPT4, PaLM2 (text-bison), and Falcon-180B. They excel at presenting climate information, but there's room for improvement in the epistemic qualities of their answers.
06.10.2023 17:28 — 👍 1 🔁 0 💬 0 📌 0
This is a tough task for human raters. Our study finds that AI can effectively assist human raters, offering promising avenues for scalable oversight on difficult problems like this.
06.10.2023 17:27 — 👍 1 🔁 0 💬 1 📌 0Excited to share our latest paper: We explore how large language models tackle questions on climate change 🌎, introducing an evaluation framework grounded in #SciComm research.
Read the preprint: arxiv.org/abs/2310.02932
