Summary
Google released cutting-edge AI models including Gemini 1206, Polygamma 2, and Gemini flash variant Learn, showcasing high performance in various tasks. The models were tested on reasoning and coding capabilities using diverse prompts like ethical dilemmas and coding challenges. The video emphasizes the importance of refining AI models for specific use cases and improving training methodologies for better performance.
Introduction of Gemini Model
Google released a new Gemini experimental model called 1206, which is currently the best model on the chatport arena leaderboard. They also released Polygamma 2, a powerful Vision language model, and a new variant of Gemini flash called Learn.
Testing AI Reasoning Capabilities
The AI models are tested on reasoning capabilities using simple prompts to check if they use logical deductions or trending data. Examples include the Trolley Problem and the Monty Hall Problem, showcasing how the model responds to ethical dilemmas and probability scenarios.
Testing Coding Examples
Coding examples are tested to evaluate AI's ability to generate code. The model generates joke-related code and a text-image generator, showcasing its capabilities in practical tasks like web development.
Challenges and Future Improvements
Challenges in AI reasoning and coding tasks are discussed, highlighting the need for better training and testing methodologies. Google is encouraged to provide more information and refine the models for specific use cases.
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