Google Unveils Research on Embodied Large Language Model
Analysis
This news highlights Google's ongoing research in integrating LLMs with the physical world, a crucial step towards more capable AI agents. The large parameter count (562b) suggests a significant investment in model scale and complexity.
Key Takeaways
- •Google is actively researching embodied AI, combining LLMs with physical interaction.
- •The model boasts a substantial 562 billion parameters, indicating a focus on model scale.
- •This research contributes to the development of AI agents that can understand and interact with the real world.
Reference
“Google releases paper on Embodied LLM (562b parameters)”