Introducing MedLM-Medium: Revolutionizing Healthcare with Vertex AI

Tal Peretz

Jul 17, 2024 — 1 min read

The healthcare industry is on the brink of transformation with Google's new MedLM models, particularly the MedLM-Medium, now available through the Vertex AI platform. Developed from Google's Med-PaLM 2, these models are fine-tuned specifically for healthcare applications. Here’s an in-depth look at what MedLM-Medium brings to the table.

Models and Availability

MedLM includes two primary models: MedLM-Medium and MedLM-Large. Both are tailored for healthcare and are available to Google Cloud customers in the US, with a preview in selected global markets. These models are designed to handle various healthcare tasks efficiently.

Capabilities and Use Cases

MedLM-Medium stands out for its better throughput and up-to-date data, making it highly scalable. Key use cases include:

Summarizing medical talks
Analyzing pharmaceutical databases
Answering medical questions
Summarizing medical notes
Extracting relevant information from medical texts

While MedLM can assist with administrative tasks like documentation, it is not meant for clinical decision-making or patient advice.

Integration and Tools

MedLM models can be easily accessed using the Vertex AI MedLM API. Additionally, they are integrated with other Google Cloud tools, such as Vertex AI Search for Healthcare, which enhances search capabilities in electronic health record (EHR) data.

Future Developments

Google aims to incorporate Gemini-based models into MedLM, enabling the handling of multimodal data, including radiology images and genomics data. Upcoming features like MedLM for Chest X-ray and a Condition Summary API will further streamline radiology workflows and patient condition summaries.

Responsible Use and Safety

Google advocates for responsible AI use, emphasizing 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