Introducing MedLM-Large: Google’s Advanced Healthcare AI Model on Vertex AI

Tal Peretz

Jul 17, 2024 — 1 min read

Google has unveiled MedLM, a set of healthcare-specific foundation models, now accessible via the Vertex AI platform. Here's a closer look at the key aspects of MedLM, particularly the MedLM-Large model:

Models and Availability

MedLM is built on Google's Med-PaLM 2 large language model (LLM) and is available to Google Cloud customers in the United States through an allowlisted general availability. At launch, MedLM includes two models:

MedLM-Large: Designed for complex workloads.
MedLM-Medium: More scalable and includes more recent data.

Capabilities

MedLM provides high-quality generative AI output suitable for medical tasks such as:

Summarizing doctors' notes to create after-visit documents
Optimizing administrative tasks

Note: MedLM is intended as an assistive tool for qualified healthcare personnel and not for clinical purposes or providing medical advice.

Integration and Use

Integrated into Google Cloud's Vertex AI, MedLM allows developers to leverage these models for various healthcare use cases. For example, Augmedix is integrating MedLM into its technology stack to enhance its ambient medical documentation product performance.

Limitations and Guidelines

Google emphasizes a

Unleashing Creativity with Stability.SD3-Large-V1:0 on Amazon Bedrock

The advent of Stability.SD3-Large-V1:0, a revolutionary text-to-image model, marks a significant milestone in the realm of generative AI. Integrated into Amazon Bedrock, this model is designed to transform how digital assets are created, offering unparalleled performance and quality in image generation. Model Architecture and Performance At the heart

Unlocking the Potential of Bedrock/Meta-Textgeneration-Llama-2-7B with AWS SageMaker

The Bedrock/Meta-Textgeneration-Llama-2-7B is a cutting-edge Large Language Model (LLM) developed by Meta as part of the Llama 2 series. This series ranges from 7 billion to 70 billion parameters, with the 7B model offering a balance of size and capability. Its development involved Supervised Fine-Tuning (SFT) and Reinforcement Learning

Exploring Azure AI's Phi-3-Medium-128K-Instruct: A Revolutionary LLM

Azure AI's Phi-3-Medium-128K-Instruct is a breakthrough in the field of language models, bringing forth a dense decoder-only Transformer model with 14 billion parameters. This model, part of Microsoft's Phi-3 family, stands out for its impressive performance across a wide range of benchmarks, making it a go-to

Unlocking the Potential of Azure AI's Phi-3.5-MoE-Instruct: A New Era in Artificial Intelligence

The Azure AI Phi-3.5-MoE-Instruct model, a groundbreaking addition to Microsoft's Phi-3.5 series, is revolutionizing the landscape of artificial intelligence with its innovative architecture and impressive capabilities. Model Architecture At the heart of the Phi-3.5-MoE-Instruct is the Mixture-of-Experts (MoE) model architecture, which includes 16 experts, each