Summary
The video discusses the new Deep Seek model, a hybrid inference model merging V3 and R1 for enhanced performance and benchmarks. It explores token efficiency and cost comparisons, as well as model training in 8-bit precision to boost efficiency. This model introduces hybrid reasoning capabilities supporting both reasoning and non-reasoning modes, potentially leading to a significant impact in the AI landscape. A demo showcasing improved behavior in a rotating shape scenario hints at the promising advancements of the new model.
Introduction to Deep Seek Model
Discussion about the new Deep Seek model and its implications as a hybrid inference model.
Transition to Agent Era
First step towards agent era with a hybrid inference model combining V3 and R1.
Comparison with Previous Models
Comparison with V3 base model, emphasizing performance improvements and benchmarks.
Token Usage and Efficiency
Exploration of token usage and efficiency in the new model, comparing costs and performance benefits.
Model Training and Precision
Discussion on model training in 8 bit precision for efficiency and performance considerations.
Performance Analysis
Analysis of performance improvements in the new model and benchmark comparisons.
Hybrid Reasoning Modes
Explanation of hybrid reasoning capabilities in the model supporting both reasoning and non-reasoning modes.
Final Release and Implications
Speculation on the final release name V4 and insights into the model's significance in the AI landscape.
Model Test Demonstration
Demonstration of model testing with a rotating shape scenario showcasing improved behavior.
Get your own AI Agent Today
Thousands of businesses worldwide are using Chaindesk Generative
AI platform.
Don't get left behind - start building your
own custom AI chatbot now!