Google just released the STABLE build of Gemini 2.5 (including a new model!)

Introduction to Gemini 2.5 Models 00:00

• Google has released the Gemini 2.5 series of models, now generally available for production use.
• The new model, Gemini 2.5 Flash Light, is touted as the most cost-efficient and fastest model to date.

Performance and Features 00:27

• Gemini 2.5 Pro is highlighted as a favorite for coding tasks, showing improvements in speed, efficiency, and cost.
• The Flash Light model excels in high-volume tasks like translation and classification, with a significant 1 million token context length supported across all models.
• Input pricing for Flash Light is at 10 cents, while output costs 40 cents; Gemini 2.5 Pro is priced higher at $125 per million input and $10 per million output.

Technical Innovations 02:23

• The Gemini 2.x models are designed to be natively multimodal, supporting various inputs including text, audio, images, and video.
• These models can perform complex tasks, combining capabilities to create advanced systems.

Sparse Mixture of Experts 04:09

• Gemini models utilize a sparse mixture of experts, activating only parts of the model for efficiency, which decouples capacity from computation costs.

Training and Performance Insights 05:48

• Models were trained using TPU V5P architecture and enhanced through reinforcement learning and verifiable rewards to improve reasoning and output quality.
• They showed significant advancements in coding capabilities, with extensive data diversity from multiple domains.

Task-Specific Capabilities 11:07

• The models were trained to integrate search capabilities with internal reasoning, enabling them to provide accurate and factual responses.
• Enhanced video understanding allows for efficient processing of longer content with improved performance metrics.

AI Safety Measures 15:59

• The video discusses automated red teaming and memorization tests to prevent the output of sensitive or copyrighted information.
• Gemini 2.5 Flash demonstrated a very low memorization rate for personal data.

Comparisons and Improvements 17:02

• Visual and video comprehension skills have significantly improved in the Gemini 2.5 models compared to previous versions, with better accuracy in color and timestamp recognition.
• Users report high effectiveness in generating chapter markers for videos, demonstrating practical usability in real-world applications.