Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Gemini 3.8 Flash Cyber represents Google's most advanced cybersecurity model, offering top-tier performance in identifying vulnerabilities and automating patching processes with remarkable speed for rapid iteration. Tailored for trusted defenders, it is accessible via the Fairwind Program. On CyberGym, a recognized industry benchmark for detecting vulnerabilities, this model showcases exceptional autonomous vulnerability discovery, outperforming both Gemini 3.5 Flash Cyber and larger frontier models. Furthermore, Google assessed its effectiveness on an internal benchmark that spans complex codebases across 20 programming languages, achieving a success rate of over 70% in identifying various vulnerabilities. Unlike many models that focus on offensive strategies, Gemini 3.8 Flash Cyber emphasizes the importance of fixing vulnerabilities, providing defenders with advanced tools that enhance their ability to stay ahead of cyber attackers. This focus on proactive defense represents a crucial shift in the cybersecurity landscape, prioritizing the safeguarding of systems over mere exploitation capabilities.
Description
Innovations in healthcare have the potential to transform lives and inspire hope, driven by a combination of scientific expertise, empathy, and human understanding. We are confident that artificial intelligence can play a significant role in this transformation through effective collaboration among researchers, healthcare providers, and the wider community. Today, we are thrilled to announce promising strides in these efforts, unveiling limited access to Google’s medical-focused large language model, Med-PaLM 2. In the upcoming weeks, this model will be made available for restricted testing to a select group of Google Cloud clients, allowing them to explore its applications and provide valuable feedback as we pursue safe and responsible methods of leveraging this technology. Med-PaLM 2 utilizes Google’s advanced LLMs, specifically tailored for the medical field, to enhance the accuracy and safety of responses to medical inquiries. Notably, Med-PaLM 2 achieved the distinction of being the first LLM to perform at an “expert” level on the MedQA dataset, which consists of questions modeled after the US Medical Licensing Examination (USMLE). This milestone reflects our commitment to advancing healthcare through innovative solutions and highlights the potential of AI in addressing complex medical challenges.
API Access
Has API
Yes
API Access
Has API
No
Integrations
.NET
Yes
Android Studio
Yes
C
Yes
CodeMender
Yes
Factory Droid
Yes
Gemini 4 Argon
Yes
Gemini Spark
Yes
Google AI Mode
Yes
Google AI Studio
Yes
Google Antigravity
Yes
Integrations
.NET
No
Android Studio
No
C
No
CodeMender
No
Factory Droid
No
Gemini 4 Argon
No
Gemini Spark
No
Google AI Mode
No
Google AI Studio
No
Google Antigravity
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Country
United States
Website
google.com
Vendor Details
Company Name
Google Cloud
Country
United States
Website
cloud.google.com/blog/topics/healthcare-life-sciences/sharing-google-med-palm-2-medical-large-language-model