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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 Gemini Nano?

Gemini Nano by Google is a streamlined and effective AI model crafted to excel in scenarios with constrained resources. Tailored for mobile use and edge computing, it combines Google's advanced AI infrastructure with cutting-edge optimization techniques, maintaining high-speed performance and precision. This lightweight model excels in numerous applications such as voice recognition, instant translation, natural language understanding, and offering tailored suggestions. Prioritizing both privacy and efficiency, Gemini Nano processes data locally, thus minimizing reliance on cloud services while implementing robust security protocols. Its adaptability and low energy consumption make it an ideal choice for smart devices, IoT solutions, and portable AI systems. Consequently, it paves the way for developers eager to incorporate sophisticated AI into everyday technology, enabling the creation of smarter, more responsive gadgets. With such capabilities, Gemini Nano is set to redefine how we interact with AI in our day-to-day lives.

Media

Media

Integrations Supported

AI Assistify
Acuvity
Airtrain
BrainyAI
Buffup
Chat & Ask AI
Chaturji
ConsoleX
Decopy AI
Ema
Folderr
Freshbots
Galileo
Google AI Studio
Hamming
Kerlig
PandoraBot
ReByte
Revere

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Android

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub

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

1998

Company Location

United States

Company Website

deepmind.google/technologies/gemini/nano/

Categories and Features

AI Models

Not specified

Healthcare

Not specified

Large Language Models

Not specified

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Small Language Models

Not specified

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