Vertex AI's Latest Updates: Gemini 1.5 Pro Model and New LLM Capabilities
Google's Vertex AI platform continues to evolve, with the latest updates introducing powerful enhancements to its large language models (LLMs). These upgrades aim to improve the usability and performance of generative AI applications. Here's a comprehensive look at the recent advancements:
Gemini 1.5 Pro Model
The Gemini 1.5 Pro model is now available in public preview. This model stands out with a 1-million-token context, enabling it to natively reason over vast amounts of data. Additionally, it includes advanced audio processing capabilities, allowing it to handle speech and audio from videos, as well as transcription features.
New Features and Capabilities
Vertex AI has introduced several new features to enhance its LLM capabilities:
- Grounding Capabilities: By leveraging Google Search and enterprise data sources with retrieval augmented generation (RAG), Vertex AI reduces hallucinations and improves response accuracy.
- Prompt Management: New services for organizing, tracking, and modifying prompts streamline the process of creating, editing, and managing prompts for machine learning models.
- Audio Processing: The Gemini 1.5 Pro model's ability to process audio streams, including speech and audio from videos, enables sophisticated cross-modal analysis.
Other Models and Updates
In addition to the Gemini 1.5 Pro, Vertex AI has introduced several other models and updates:
- Imagen 2: This model can generate four-second live images from text prompts and features new image editing capabilities, supporting generative AI applications.
- Llama 3.1: Available in preview, the Llama 3.1 405B model offers synthetic data generation, model distillation, and multilingual translation.
- Anthropic Claude 3.0 Opus: Now generally available, this model is accessible through Vertex AI.
- Model Garden: Vertex AI's platform now includes a wide range of models, including third-party options like Meta’s Llama 2 and Anthropic’s Claude 2, providing greater choice and customization for users.
Regional APIs and Model Parameters
Generative AI on Vertex AI regional APIs are now available in regions such as us-east5
, me-central1
, and me-central2
. Additionally, Gemini models now support parameters like frequencyPenalty
and presencePenalty
, enabling users to control response diversity and repetition.
These updates underscore Google's commitment to enhancing the capabilities and usability of its Vertex AI platform, empowering users to build more effective and accurate generative AI applications.