/plushcap/analysis/encord/encord-google-gemini-1-5-generative-ai-model-with-mixture-of-experts

Gemini 1.5: Google's Generative AI Model with Mixture of Experts Architecture

What's this blog post about?

Google's Gemini 1.5 Pro is a highly capable multimodal model with token context lengths ranging from 128K to 1 million token context lengths for production applications and up to 10 million for research. It excels at long-term recall and retrieval, generalizing zero-shot to long instructions like analyzing 3 hours of video, and 22 hours of audio with near-perfect recall. The model uses a mixture-of-experts (MoE) architecture for efficient training & higher-quality responses, reducing compute requirements for training despite the larger context windows. Gemini 1.5 Pro demonstrates remarkable improvements over state-of-the-art models in tasks spanning text, code, vision, and audio, setting a new standard in AI's ability to recall and reason across extensive multimodal contexts.

Company
Encord

Date published
Feb. 17, 2024

Author(s)
Stephen Oladele

Word count
2924

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.