Nexa AI Introduces Octopus v4: A Novel Artificial Intelligence Approach that Employs Functional Tokens to Integrate Multiple Open-Source Models

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Summary

● Rapid growth in open-source Large Language Models (LLMs) has occurred after the release of Llama3 and Llama 2 by Meta in 2023, influencing NLP significantly.

● On-device AI models like LLMs have transformed NLP, and combining them with cloud-based models through cloud-on-device collaboration can enhance performance, scalability, and flexibility.

● The Octopus v4 system integrates multiple open-source models using functional tokens for efficient task optimization and query restructuring, showing outstanding performance.

● System architecture includes worker node deployment, master node deployment with a base model, and communication across multiple devices for data transfer.

● Performance evaluation of Octopus v4 system against other models using MMLU benchmark shows its effectiveness, with future plans to improve it by incorporating multiagent capabilities with advanced models.

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