Hermes: A Large Language Model Framework on the Journey to Autonomous
  Networks
The drive toward automating cellular network operations has grown with the
increasing complexity of these systems. Despite advancements, full autonomy
currently remains out of reach due to reliance on human intervention for
modeling network behaviors and defining policies to meet target requirements.
Network Digital Twins (NDTs) have shown promise in enhancing network
intelligence, but the successful implementation of this technology is
constrained by use case-specific architectures, limiting its role in advancing
network autonomy. A more capable network intelligence, or "telecommunications
brain", is needed to enable seamless, autonomous management of cellular
network. Large Language Models (LLMs) have emerged as potential enablers for
this vision but face challenges in network modeling, especially in reasoning
and handling diverse data types. To address these gaps, we introduce Hermes, a
chain of LLM agents that uses "blueprints" for constructing NDT instances
through structured and explainable logical steps. Hermes allows automatic,
reliable, and accurate network modeling of diverse use cases and
configurations, thus marking progress toward fully autonomous network
operations.
6733297c18caf8e87738479c
Fadhel Ayed
6733297c18caf8e87738479d
Ali Maatouk
admin_assigned
2024-11-15T14:06:18.812Z
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Ali Maatouk
user
AliMaatouk
6733297c18caf8e87738479e
Nicola Piovesan
claimed_verified
2024-11-15T09:26:08.984Z
650ab653cc02352e1e43e43e
https://cdn-avatars.huggingface.co/v1/production/uploads/650ab653cc02352e1e43e43e/Zl_nv3yFWhJYeu3EYKwIU.jpeg
Nicola Piovesan
user
nicopi
6733297c18caf8e87738479f
Antonio De Domenico
admin_assigned
2024-11-15T14:06:24.360Z
6711824bdbaabda3f3eded95
https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/a1idXVuNGNLEZN82wg6Kp.png
Antonio De Domenico
user
adedomenico
6733297c18caf8e8773847a0
Merouane Debbah
admin_assigned
2024-11-15T14:06:31.342Z
66d6ceebcf9564361248788d
https://cdn-avatars.huggingface.co/v1/production/uploads/66d6ceebcf9564361248788d/_lFUktiNv1wN40bp5TdxQ.jpeg
Merouane Debbah
user
Merouanedebbah
6733297c18caf8e8773847a1
Zhi-Quan Luo
Hermes: A Large Language Model Framework on the Journey to Autonomous
  Networks
The drive toward automating cellular network operations has grown with the
increasing complexity of these systems. Despite advancements, full autonomy
currently remains out of reach due to reliance on human intervention for
modeling network behaviors and defining policies to meet target requirements.
Network Digital Twins (NDTs) have shown promise in enhancing network
intelligence, but the successful implementation of this technology is
constrained by use case-specific architectures, limiting its role in advancing
network autonomy. A more capable network intelligence, or "telecommunications
brain", is needed to enable seamless, autonomous management of cellular
network. Large Language Models (LLMs) have emerged as potential enablers for
this vision but face challenges in network modeling, especially in reasoning
and handling diverse data types. To address these gaps, we introduce Hermes, a
chain of LLM agents that uses "blueprints" for constructing NDT instances
through structured and explainable logical steps. Hermes allows automatic,
reliable, and accurate network modeling of diverse use cases and
configurations, thus marking progress toward fully autonomous network
operations.
Hermes, a chain of LLM agents using blueprints, facilitates automatic, reliable, and accurate network modeling through structured logical steps, advancing towards fully autonomous network operations.
Network Digital Twins (NDTs) Large Language Models (LLMs) network modeling logical steps