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What is Med-PaLM 2?

Healthcare innovations possess the remarkable ability to change lives and instill hope, fueled by a blend of scientific knowledge, compassion, and human insight. We believe that artificial intelligence stands to significantly contribute to this evolution by fostering effective collaborations among researchers, healthcare professionals, and the broader community. We are excited to share that we have made notable progress in this area, as we introduce limited access to Google’s medically-oriented large language model, Med-PaLM 2. In the coming weeks, this model will be accessible for restricted testing to a chosen group of Google Cloud clients, who will have the opportunity to explore its functionalities and offer crucial feedback as we strive for safe and responsible applications of this technology. Med-PaLM 2 employs Google’s sophisticated LLMs, specifically designed for the healthcare sector, enhancing the accuracy and safety of responses to medical questions. It is worth mentioning that Med-PaLM 2 has the distinction of being the first LLM to reach an “expert” level on the MedQA dataset, which features questions modeled after the US Medical Licensing Examination (USMLE). This achievement underscores our dedication to progressing healthcare through innovative solutions and emphasizes the potential of AI in tackling intricate medical issues. As we continue to refine this technology, we remain committed to ensuring it is used ethically and effectively for the betterment of patient care.

What is DataGemma?

DataGemma represents a revolutionary effort by Google designed to enhance the accuracy and reliability of large language models, particularly in their processing of statistical data. Launched as a suite of open models, DataGemma leverages Google's Data Commons, an extensive repository of publicly accessible statistical information, ensuring that its outputs are grounded in actual data. This initiative unveils two innovative methodologies: Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG). The RIG technique integrates real-time data validation throughout the content creation process to uphold factual correctness, while RAG aims to gather relevant information before generating responses, significantly reducing the likelihood of inaccuracies often labeled as AI hallucinations. By employing these approaches, DataGemma seeks to provide users with more trustworthy and factually sound answers, marking a significant step forward in the battle against misinformation in AI-generated content. Moreover, this initiative not only highlights Google's dedication to ethical AI practices but also improves user engagement by building confidence in the material presented. By focusing on the intersection of data integrity and user trust, DataGemma aims to redefine the standards of information accuracy in the digital landscape.

Media

Media

Integrations Supported

Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Gemini Nano
Gemini Pro
Google Cloud Platform

Integrations Supported

Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Gemini Nano
Gemini Pro
Google Cloud Platform

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google Cloud

Company Location

United States

Company Website

cloud.google.com/blog/topics/healthcare-life-sciences/sharing-google-med-palm-2-medical-large-language-model

Company Facts

Organization Name

Google

Date Founded

1994

Company Location

United States

Company Website

blog.google/technology/ai/google-datagemma-ai-llm/

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Categories and Features

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