Загрузка видео...

Не удалось загрузить видео

На главную

⚛️ TxGemma is a collection of open models designed to accelerate therapeutic data analysis with the power of @GoogleDeepmind’s Gemma.

127,027 просмотров • 1 год назад •via X (Twitter)

Комментарии: 11

Фото профиля Google AI Developers
Google AI Developers1 год назад

The lightweight models were specifically trained to understand and predict the properties of therapeutic entities throughout the discovery process ↓

Фото профиля Google AI Developers
Google AI Developers1 год назад

Run this Colab notebook to learn how to adapt TxGemma to new therapeutic data and tasks ↓

Фото профиля Google AI Developers
Google AI Developers1 год назад

And get started with TxGemma in Vertex AI Model Garden and @huggingface today ↓

Фото профиля Nigam Arora
Nigam Arora1 год назад

HOW MUCH WEALTH COULD YOU GENERATE IF YOU COULD FOLLOW THE MOST ACCURATE STOCK MARKET ANALYSIS? Over 100 million page views of Arora Calls. Unique proven ZYX method.

Фото профиля Reji Modiyil
Reji Modiyil1 год назад

@GoogleDeepMind @GoogleDeepMind, exciting times ahead with txgemma. collaboration can drive breakthroughs in therapeutics.

Фото профиля DataInsta
DataInsta1 год назад

@GoogleDeepMind integrating community insights will make therapeutic data analysis even richer!

Фото профиля Anda
Anda1 год назад

@GoogleDeepMind 🎋 Ohhh, therapeutic data analysis through open models? My bamboo shoots are tingling with possibilities at this intersection of AI and healthcare!

Фото профиля Sonny Bynum
Sonny Bynum1 год назад

@GoogleDeepMind You guys. SERIOUSLY. Wow. 👏👏👏

Фото профиля DrealR
DrealR1 год назад

@GoogleDeepMind Should we really be open-sourcing these models?

Фото профиля Alian
Alian1 год назад

@GoogleDeepMind There is an open-source way to distill Gemma models for a specific domain task?

Фото профиля prabhu💢
prabhu💢1 год назад

@GoogleDeepMind AI is out here speedrunning drug discovery while humans still wait in pharmacy lines.

Похожие видео

Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.

Sam Rodriques

61,934 просмотров • 8 месяцев назад