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This is an implementation from the paper: "Mixture-of-Agents Enhances Large Language Model Capabilities" by together.ai, it achieves SOTA on AlpacaEval 2.0, MT-Bench and FLASK, surpassing GPT-4 Omni. Great for tasks that need to be parallelized and then sequentially fed into another loop This is an implementation from the paper: "Mixture-of-Agents Enhances Large Language Model Capabilities" by together.ai, it achieves SOTA on AlpacaEval 2.0, MT-Bench and FLASK, surpassing GPT-4 Omni. Great for tasks that need to be parallelized and then sequentially fed into another loop
```python ```python
from swarms import Agent, OpenAIChat from swarms import Agent, OpenAIChat, MixtureOfAgents
from swarms.structs.mixture_of_agents import MixtureOfAgents
# Initialize the director agent # Initialize the director agent
director = Agent( director = Agent(

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